2015
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Human activity recognition using multisensor data fusion based on reservoir computing
Palumbo F, Gallicchio C, Pucci R, Micheli A
Activity recognition plays a key role in providing activity assistance and care for users in smart homes. In this work, we present an activity recognition system that classifies in the near real-time a set of common daily activities exploiting both the data sampled by sensors embedded in a smartphon... e carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. In order to achieve an effective and responsive classification, a decision tree based on multisensor data-stream is applied fusing data coming from embedded sensors on the smartphone and environmental sensors before processing the RSS stream. To this end, we model the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks (RNNs) implemented as efficient Echo State Networks (ESNs), within the Reservoir Computing (RC) paradigm. We targeted the system for the EvAAL scenario, an international competition that aims at establishing benchmarks and evaluation metrics for comparing Ambient Assisted Living (AAL) solutions. In this paper, the performance of the proposed activity recognition system is assessed on a purposely collected real-world dataset, taking also into account a competitive neural network approach for performance comparison. Our results show that, with an appropriate configuration of the information fusion chain, the proposed system reaches a very good accuracy with a low deployment cost. [show more]Project(s): DOREMI
Palumbo F, Gallicchio C, Pucci R, Micheli A
Activity recognition plays a key role in providing activity assistance and care for users in smart homes. In this work, we present an activity recognition system that classifies in the near real-time a set of common daily activities exploiting both the data sampled by sensors embedded in a smartphon... e carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. In order to achieve an effective and responsive classification, a decision tree based on multisensor data-stream is applied fusing data coming from embedded sensors on the smartphone and environmental sensors before processing the RSS stream. To this end, we model the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks (RNNs) implemented as efficient Echo State Networks (ESNs), within the Reservoir Computing (RC) paradigm. We targeted the system for the EvAAL scenario, an international competition that aims at establishing benchmarks and evaluation metrics for comparing Ambient Assisted Living (AAL) solutions. In this paper, the performance of the proposed activity recognition system is assessed on a purposely collected real-world dataset, taking also into account a competitive neural network approach for performance comparison. Our results show that, with an appropriate configuration of the information fusion chain, the proposed system reaches a very good accuracy with a low deployment cost. [show more]Project(s): DOREMI
2015
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DOREMI - Annotated data available and easy accessible - D6.1
Musian D, Vozzi F, Fortunati L, Palumbo F, Gallicchio C, Llorente M
The deliverable 6.1 provides a detailed description of data collected for the training of Activity recognition model, including three sections, Socialization, Balance and Physical activity. Data related to Social activities have been collected in three rounds involving DoReMI staff. Data have been c... ollected in the CIAMI living lab exploiting PIR (passive infrared) sensors and doors' reed switches. The protocol applied was based on the specification of the computational learning task "person meeting the user at home (D4.1). Balance data have been collected in three rounds involving 25 elderly people respecting the inclusion criteria defined in D2.3. To train activity recognition models have been collected biometric data, Berg Scale scores and a brief anamnesis interview. The subjects had to perform three tasks of the Berg Scale using Wii balance board. Data of physical activities has been collected in three rounds involving 12 older adults DOREMI participants. The subjects have performed 21 physical exercises selected from the WHO guidelines for physical activity. Data included physiological and biometric parameters, with particular attention to heart rate and metabolic consumption during physical activity. [show more]Project(s): DOREMI
Musian D, Vozzi F, Fortunati L, Palumbo F, Gallicchio C, Llorente M
The deliverable 6.1 provides a detailed description of data collected for the training of Activity recognition model, including three sections, Socialization, Balance and Physical activity. Data related to Social activities have been collected in three rounds involving DoReMI staff. Data have been c... ollected in the CIAMI living lab exploiting PIR (passive infrared) sensors and doors' reed switches. The protocol applied was based on the specification of the computational learning task "person meeting the user at home (D4.1). Balance data have been collected in three rounds involving 25 elderly people respecting the inclusion criteria defined in D2.3. To train activity recognition models have been collected biometric data, Berg Scale scores and a brief anamnesis interview. The subjects had to perform three tasks of the Berg Scale using Wii balance board. Data of physical activities has been collected in three rounds involving 12 older adults DOREMI participants. The subjects have performed 21 physical exercises selected from the WHO guidelines for physical activity. Data included physiological and biometric parameters, with particular attention to heart rate and metabolic consumption during physical activity. [show more]Project(s): DOREMI
2015
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DOREMI - Annotated data available and easy accessible - D6.2
Musian D, Vozzi F, Fortunati L, Palumbo F, Gallicchio C, Llorente M, Ascolese A, Hanckox J
The deliverable 6.2 provides a detailed description of data collected for the training of Activity recognition model, including the following sections, Indoor localization, Outdoor localization, Heart rate and step counter, Physical Activity, Indoor socialization data collection Gamified, Environmen... t and Serious Games Usability and Accessibility Tests. [show more]Project(s): DOREMI
Musian D, Vozzi F, Fortunati L, Palumbo F, Gallicchio C, Llorente M, Ascolese A, Hanckox J
The deliverable 6.2 provides a detailed description of data collected for the training of Activity recognition model, including the following sections, Indoor localization, Outdoor localization, Heart rate and step counter, Physical Activity, Indoor socialization data collection Gamified, Environmen... t and Serious Games Usability and Accessibility Tests. [show more]Project(s): DOREMI
2016
Journal article
Open Access
Human activity recognition using multisensor data fusion based on Reservoir Computing
Palumbo F, Gallicchio C, Pucci R, Micheli A
Activity recognition plays a key role in providing activity assistance and care for users in smart homes. In this work, we present an activity recognition system that classifies in the near real-time a set of common daily activities exploiting both the data sampled by sensors embedded in a smartphon... e carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. In order to achieve an effective and responsive classification, a decision tree based on multisensor data-stream is applied fusing data coming from embedded sensors on the smartphone and environmental sensors before processing the RSS stream. To this end, we model the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks (RNNs) implemented as efficient Echo State Networks (ESNs), within the Reservoir Computing (RC) paradigm. We targeted the system for the EvAAL scenario, an international competition that aims at establishing benchmarks and evaluation metrics for comparing Ambient Assisted Living (AAL) solutions. In this paper, the performance of the proposed activity recognition system is assessed on a purposely collected real-world dataset, taking also into account a competitive neural network approach for performance comparison. Our results show that, with an appropriate configuration of the information fusion chain, the proposed system reaches a very good accuracy with a low deployment cost. [show more]Source: JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS (PRINT), vol. 8 (issue 2), pp. 87-107
DOI: 10.3233/ais-160372
Metrics:
Palumbo F, Gallicchio C, Pucci R, Micheli A
Activity recognition plays a key role in providing activity assistance and care for users in smart homes. In this work, we present an activity recognition system that classifies in the near real-time a set of common daily activities exploiting both the data sampled by sensors embedded in a smartphon... e carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. In order to achieve an effective and responsive classification, a decision tree based on multisensor data-stream is applied fusing data coming from embedded sensors on the smartphone and environmental sensors before processing the RSS stream. To this end, we model the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks (RNNs) implemented as efficient Echo State Networks (ESNs), within the Reservoir Computing (RC) paradigm. We targeted the system for the EvAAL scenario, an international competition that aims at establishing benchmarks and evaluation metrics for comparing Ambient Assisted Living (AAL) solutions. In this paper, the performance of the proposed activity recognition system is assessed on a purposely collected real-world dataset, taking also into account a competitive neural network approach for performance comparison. Our results show that, with an appropriate configuration of the information fusion chain, the proposed system reaches a very good accuracy with a low deployment cost. [show more]Source: JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS (PRINT), vol. 8 (issue 2), pp. 87-107
DOI: 10.3233/ais-160372
Metrics:
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Journal of Ambient Intelligence and Smart Environments 
| content.iospress.com | CNR IRIS | ISTI Repository | Journal of Ambient Intelligence and Smart Environments 
| CNR IRIS | CNR IRIS
2016
Journal article
Open Access
Taking Arduino to the Internet of Things: The ASIP programming model
Barbon G, Margolis M, Palumbo F, Raimondi F, Weldin N
Micro-controllers such as Arduino are widely used by all kinds of makers worldwide. Popularity has been driven by Arduino's simplicity of use and the large number of sensors and libraries available to extend the basic capabilities of these controllers. The last decade has witnessed a surge of softwa... re engineering solutions for "the Internet of Things", but in several cases these solutions require computational resources that are more advanced than simple, resource-limited micro-controllers.Surprisingly, in spite of being the basic ingredients of complex hardware-software systems, there does not seem to be a simple and flexible way to (1) extend the basic capabilities of micro-controllers, and (2) to coordinate inter-connected micro-controllers in "the Internet of Things". Indeed, new capabilities are added on a per-application basis and interactions are mainly limited to bespoke, point-to-point protocols that target the hardware I/O rather than the services provided by this hardware.In this paper we present the Arduino Service Interface Programming (ASIP) model, a new model that addresses the issues above by (1) providing a "Service" abstraction to easily add new capabilities to micro-controllers, and (2) providing support for networked boards using a range of strategies, including socket connections, bridging devices, MQTT-based publish-subscribe messaging, discovery services, etc. We provide an open-source implementation of the code running on Arduino boards and client libraries in Java, Python, Racket and Erlang. We show how ASIP enables the rapid development of non-trivial applications (coordination of input/output on distributed boards and implementation of a line-following algorithm for a remote robot) and we assess the performance of ASIP in several ways, both quantitative and qualitative. [show more]Source: COMPUTER COMMUNICATIONS, vol. 89-90, pp. 128-140
DOI: 10.1016/j.comcom.2016.03.016
Metrics:
Barbon G, Margolis M, Palumbo F, Raimondi F, Weldin N
Micro-controllers such as Arduino are widely used by all kinds of makers worldwide. Popularity has been driven by Arduino's simplicity of use and the large number of sensors and libraries available to extend the basic capabilities of these controllers. The last decade has witnessed a surge of softwa... re engineering solutions for "the Internet of Things", but in several cases these solutions require computational resources that are more advanced than simple, resource-limited micro-controllers.Surprisingly, in spite of being the basic ingredients of complex hardware-software systems, there does not seem to be a simple and flexible way to (1) extend the basic capabilities of micro-controllers, and (2) to coordinate inter-connected micro-controllers in "the Internet of Things". Indeed, new capabilities are added on a per-application basis and interactions are mainly limited to bespoke, point-to-point protocols that target the hardware I/O rather than the services provided by this hardware.In this paper we present the Arduino Service Interface Programming (ASIP) model, a new model that addresses the issues above by (1) providing a "Service" abstraction to easily add new capabilities to micro-controllers, and (2) providing support for networked boards using a range of strategies, including socket connections, bridging devices, MQTT-based publish-subscribe messaging, discovery services, etc. We provide an open-source implementation of the code running on Arduino boards and client libraries in Java, Python, Racket and Erlang. We show how ASIP enables the rapid development of non-trivial applications (coordination of input/output on distributed boards and implementation of a line-following algorithm for a remote robot) and we assess the performance of ASIP in several ways, both quantitative and qualitative. [show more]Source: COMPUTER COMMUNICATIONS, vol. 89-90, pp. 128-140
DOI: 10.1016/j.comcom.2016.03.016
Metrics:
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Computer Communications | CNR IRIS | ISTI Repository | www.sciencedirect.com | Computer Communications | INRIA a CCSD electronic archive server | CNR IRIS | CNR IRIS
2016
Other
Open Access
Ambient intelligence in assisted living environments
Palumbo F
The paradigm of Ambient Intelligence (AmI) aims at supporting humans in achieving their everyday objectives by enriching physical environments with networks of distributed devices, such as sensors, actuators, and computational resources. AmI is not only the convergence of various technologies (i.e. ... sensor networks and industrial electronics) and related research fields (i.e. pervasive, distributed computing, and artificial intelligence), but it represents a major effort to integrate them and to make them really useful for everyday human life. In particular, the recognition of human activities, coupled with the knowledge of the user's position in the indoor environment, represent two of the main pillars of the so-called "context-awareness". A context-aware system is aware of what sensory data mean: it is able to associate meaning to observations, and to make the best use of sensory data once their meaning has been assessed. In this context, one of the most important research and development areas is represented by assisted living environments. The general goal of Ambient Assisted Living (AAL) solutions is to apply ambient intelligence technologies to enable people with specific demands, e.g. with disabilities or elderly, to live longer in their preferred environment. This thesis deals with two major problems that still prevent the spreading of AAL solutions in real environments: (i) the need for a common medium to transmit the sensory data and the information produced by algorithms and (ii) the unobtrusiveness of context-aware applications in terms of both placement of devices and period of observations (i.e. long-term care offering services or assistance on a daily basis over a long period of time for people who are not independent). In order to address these challenges, this thesis contributes to the Ambient Intelligence research field, applied to assisted living environments, by means of a holistic solution composed of a beyond the state-of-the-art middleware infrastructure, providing interoperability and service abstraction, and a suite of unobtrusive applications, built on top the proposed middleware, that allows the detection of the user's context and behavioral deviations of his routine in indoor activities. The proposed solution has been thoroughly evaluated in the laboratory and in real testbeds offered by European FP7 projects, namely GiraffPlus and DOREMI, that showed its effectiveness in dealing with the requirements coming from the application of the AAL paradigm in the real world. [show more]Project(s): GIRAFF+
Palumbo F
The paradigm of Ambient Intelligence (AmI) aims at supporting humans in achieving their everyday objectives by enriching physical environments with networks of distributed devices, such as sensors, actuators, and computational resources. AmI is not only the convergence of various technologies (i.e. ... sensor networks and industrial electronics) and related research fields (i.e. pervasive, distributed computing, and artificial intelligence), but it represents a major effort to integrate them and to make them really useful for everyday human life. In particular, the recognition of human activities, coupled with the knowledge of the user's position in the indoor environment, represent two of the main pillars of the so-called "context-awareness". A context-aware system is aware of what sensory data mean: it is able to associate meaning to observations, and to make the best use of sensory data once their meaning has been assessed. In this context, one of the most important research and development areas is represented by assisted living environments. The general goal of Ambient Assisted Living (AAL) solutions is to apply ambient intelligence technologies to enable people with specific demands, e.g. with disabilities or elderly, to live longer in their preferred environment. This thesis deals with two major problems that still prevent the spreading of AAL solutions in real environments: (i) the need for a common medium to transmit the sensory data and the information produced by algorithms and (ii) the unobtrusiveness of context-aware applications in terms of both placement of devices and period of observations (i.e. long-term care offering services or assistance on a daily basis over a long period of time for people who are not independent). In order to address these challenges, this thesis contributes to the Ambient Intelligence research field, applied to assisted living environments, by means of a holistic solution composed of a beyond the state-of-the-art middleware infrastructure, providing interoperability and service abstraction, and a suite of unobtrusive applications, built on top the proposed middleware, that allows the detection of the user's context and behavioral deviations of his routine in indoor activities. The proposed solution has been thoroughly evaluated in the laboratory and in real testbeds offered by European FP7 projects, namely GiraffPlus and DOREMI, that showed its effectiveness in dealing with the requirements coming from the application of the AAL paradigm in the real world. [show more]Project(s): GIRAFF+
2016
Conference article
Open Access
Implementing virtual pheromones in BDI robots using MQTT and Jason (Short Paper)
Bottone M, Palumbo F, Primiero G, Raimondi F, Stocker R
Robotic coordination is a crucial issue in the development of many applications in swarm robotics, ranging from mapping unknown and potentially dangerous areas to the synthesis of plans to achieve complex tasks such as moving goods between locations under resource constraints. In this context, stigm... ergy is a widely employed approach to robotic coordination based on the idea of interacting with the environment by means of markers called pheromones. Pheromones do not need to be "physical marks", and a number of works have investigated the use of digital, virtual pheromones. In this paper, we show how the concept of virtual pheromones can be implemented in Jason, a Java-based interpreter for an extended version of AgentSpeak, providing a high-level modelling and execution environment for multi-agent systems. We also exploit MQTT, a messaging infrastructure for the Internet-of-Things. This allows the implementation of stigmergic algorithms in a high-level declarative language, building on top of low-level infrastructures typically used only for controlling sensors and actuators. [show more]DOI: 10.1109/cloudnet.2016.22
Metrics:
Bottone M, Palumbo F, Primiero G, Raimondi F, Stocker R
Robotic coordination is a crucial issue in the development of many applications in swarm robotics, ranging from mapping unknown and potentially dangerous areas to the synthesis of plans to achieve complex tasks such as moving goods between locations under resource constraints. In this context, stigm... ergy is a widely employed approach to robotic coordination based on the idea of interacting with the environment by means of markers called pheromones. Pheromones do not need to be "physical marks", and a number of works have investigated the use of digital, virtual pheromones. In this paper, we show how the concept of virtual pheromones can be implemented in Jason, a Java-based interpreter for an extended version of AgentSpeak, providing a high-level modelling and execution environment for multi-agent systems. We also exploit MQTT, a messaging infrastructure for the Internet-of-Things. This allows the implementation of stigmergic algorithms in a high-level declarative language, building on top of low-level infrastructures typically used only for controlling sensors and actuators. [show more]DOI: 10.1109/cloudnet.2016.22
Metrics:
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eprints.mdx.ac.uk | doi.org | CNR IRIS | ieeexplore.ieee.org | CNR IRIS
2016
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DOREMI - Annotated data available and easy accessible
Musian D, Vozzi F, Fortunati L, Palumbo F, Gallicchio C, Llorente M, Ascolese A, Hanckox J, Scase M
Deliverable 6.3 provides a detailed description of data collected for the training of Activity recognition model, including Physical Activity and Indoor socialization. Data collection to test accessibility of Gamified Environment and Serious Games will be also reported. Finally will be presented the... data collection conducted to test data aggregation and the integration tests. [show more]Project(s): DOREMI
Musian D, Vozzi F, Fortunati L, Palumbo F, Gallicchio C, Llorente M, Ascolese A, Hanckox J, Scase M
Deliverable 6.3 provides a detailed description of data collected for the training of Activity recognition model, including Physical Activity and Indoor socialization. Data collection to test accessibility of Gamified Environment and Serious Games will be also reported. Finally will be presented the... data collection conducted to test data aggregation and the integration tests. [show more]Project(s): DOREMI
2018
Other
Open Access
NESTORE - Evaluation of universAAL solution
Candea G, Staicu M, Candea C, Palumbo F
This document is the results of work in task T6.2 Evaluation of universAAL solution. Within this task the technological partners from NESTORE reviewed and analyses the official universAAL sources and documentation, realized a Proof-of-Concept. Based on learned lessons and intersecting them with NEST... ORE requirements are presented conclusions and NESTORE approach relating universAAL support. [show more]Project(s): NESTORE
Candea G, Staicu M, Candea C, Palumbo F
This document is the results of work in task T6.2 Evaluation of universAAL solution. Within this task the technological partners from NESTORE reviewed and analyses the official universAAL sources and documentation, realized a Proof-of-Concept. Based on learned lessons and intersecting them with NEST... ORE requirements are presented conclusions and NESTORE approach relating universAAL support. [show more]Project(s): NESTORE
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2019
Conference article
Open Access
A Decision Support System to Propose Coaching Plans for Seniors
Subiasbeltran P, Orte S, Vargiu E, Palumbo F, Angelini L, Abou Khaled O, Mugellini E, Caon M
This paper presents the decision support system that has been defined and developed under the umbrella of the NESTORE project. The main goal of the proposed system is to help users in selecting coaching plans by proposing personalised recommendations based on their behaviours and preferences. Recogn... ising such behaviours and their evolution over time is therefore a crucial element for tailoring the interaction of the system with the user. A three-layer system composed of pathways, coaching activity plans, and coaching events, constitutes the so-called coaching timeline on which the analysis is grounded. Various techniques are used to model and personalise the recommendations and feedback. Firstly, the indicators are extracted from disparate data sources, then these are modelled through a profiling system and, finally, recommendations on the pathways and coaching plans are performed through a scoring and a tagging system. [show more]DOI: 10.1109/cbms.2019.00123
Project(s): NESTORE
Metrics:
Subiasbeltran P, Orte S, Vargiu E, Palumbo F, Angelini L, Abou Khaled O, Mugellini E, Caon M
This paper presents the decision support system that has been defined and developed under the umbrella of the NESTORE project. The main goal of the proposed system is to help users in selecting coaching plans by proposing personalised recommendations based on their behaviours and preferences. Recogn... ising such behaviours and their evolution over time is therefore a crucial element for tailoring the interaction of the system with the user. A three-layer system composed of pathways, coaching activity plans, and coaching events, constitutes the so-called coaching timeline on which the analysis is grounded. Various techniques are used to model and personalise the recommendations and feedback. Firstly, the indicators are extracted from disparate data sources, then these are modelled through a profiling system and, finally, recommendations on the pathways and coaching plans are performed through a scoring and a tagging system. [show more]DOI: 10.1109/cbms.2019.00123
Project(s): NESTORE
Metrics:
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CNR IRIS | ieeexplore.ieee.org | ISTI Repository | doi.org | CNR IRIS
2019
Other
Open Access
Nestore - D4.2 - First prototype of the DSS
Orte S, Subias P, Dauwalder S, Roecke C, Guye S, Palumbo F, Rizzo G
The D4.2 is the software that conforms the first prototype of the Decision Support System. As the DSS is merely designed and implemented in form of a Software as a Service platform, and it does not have any graphical user interface, this document is intended to report a description of the DSS first ... prototype main features with a particular focus on the architecture, functionalities and technical implementation. Therefore, the aim of this document is to provide a picture of the actual development of the DSS starting from the scientific background from which it is grounded and going through the different elements that form the DSS. The DSS main objective is to help users in selecting coaching plans by proposing personalised recommendations based on users' behaviours and preferences. Recognising such behaviours and their evolution over time is therefore a crucial element for tailoring the interaction of the system with the user. A three-layer system composed of pathways, coaching activity plans, and coaching events, constitutes the so-called coaching timeline on which the analysis is grounded. Various techniques are used to model and personalise the recommendations and feedback. Firstly, the indicators are extracted from disparate data sources, then these are modelled through a profiling system and, finally, recommendations on the pathways and coaching plans are performed through a tagging system. With the aim of developing and testing the models and workflow prior to the pilot starting date, two simulators are also being implemented and reported in this document. [show more]Project(s): NESTORE
Orte S, Subias P, Dauwalder S, Roecke C, Guye S, Palumbo F, Rizzo G
The D4.2 is the software that conforms the first prototype of the Decision Support System. As the DSS is merely designed and implemented in form of a Software as a Service platform, and it does not have any graphical user interface, this document is intended to report a description of the DSS first ... prototype main features with a particular focus on the architecture, functionalities and technical implementation. Therefore, the aim of this document is to provide a picture of the actual development of the DSS starting from the scientific background from which it is grounded and going through the different elements that form the DSS. The DSS main objective is to help users in selecting coaching plans by proposing personalised recommendations based on users' behaviours and preferences. Recognising such behaviours and their evolution over time is therefore a crucial element for tailoring the interaction of the system with the user. A three-layer system composed of pathways, coaching activity plans, and coaching events, constitutes the so-called coaching timeline on which the analysis is grounded. Various techniques are used to model and personalise the recommendations and feedback. Firstly, the indicators are extracted from disparate data sources, then these are modelled through a profiling system and, finally, recommendations on the pathways and coaching plans are performed through a tagging system. With the aim of developing and testing the models and workflow prior to the pilot starting date, two simulators are also being implemented and reported in this document. [show more]Project(s): NESTORE
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CNR IRIS | ISTI Repository | CNR IRIS
2019
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Sleep behavior assessment via heart rate tracker devices and stigmergic receptive fields
Venturini L., Palumbo F.
Dayly monitoring and analisys of is becoming more and more a popular and the detection of deviations of behavioural patterns is a crucial element if we want to assess the quality of daily living without disorders.The aim of this thesis is to present a sleep monitoring method based on the collection ... of heart rate data during sleep and a stigmergic analysis of the latter.In this regard, we present an adaptive anomaly detection method based on multi-layered stigmergic fed by a contact-free sleep tracker. We exploit heart rate data, gathered via the tracker, in order to identify subject's behavioural pattern over human's habits.This tipe of sistem allows the monitoring at home of any type of patient, to study the changes in the behavioural habits during sleep and detect anomalies. The detection of this variation allows the family or a doctor to become aware of behavioural shifting from the sleep normality of the subject and enable them to verify if this is related to the onset of disorders or diseases that could compromise the stability of the patient's lifestyle.Exploiting a technique called ballistocardiography the tracker detects the movements of the body, imparted by the ballistic forces (recoil and impact) associated with cardiac contraction and ejection of blood and with the deceleration of bloodow through the large blood vessels, and produces useful signals, one of which is the heart rate.Sample data are then processed by via computational stigmergy. Each sample is associated with a deposit of digital pheromone, called mark, dened in a mono-dimensional space and characterized by evaporation over time. Close samples are aggregated into functional structures called trails. A similarity between trails is then computed and a clustering algorithm is applied.The outcome is a similarity between days of the same subject. At the end an anomaly index ranks the anomaly level of new day or series of days. [show more]
Venturini L., Palumbo F.
Dayly monitoring and analisys of is becoming more and more a popular and the detection of deviations of behavioural patterns is a crucial element if we want to assess the quality of daily living without disorders.The aim of this thesis is to present a sleep monitoring method based on the collection ... of heart rate data during sleep and a stigmergic analysis of the latter.In this regard, we present an adaptive anomaly detection method based on multi-layered stigmergic fed by a contact-free sleep tracker. We exploit heart rate data, gathered via the tracker, in order to identify subject's behavioural pattern over human's habits.This tipe of sistem allows the monitoring at home of any type of patient, to study the changes in the behavioural habits during sleep and detect anomalies. The detection of this variation allows the family or a doctor to become aware of behavioural shifting from the sleep normality of the subject and enable them to verify if this is related to the onset of disorders or diseases that could compromise the stability of the patient's lifestyle.Exploiting a technique called ballistocardiography the tracker detects the movements of the body, imparted by the ballistic forces (recoil and impact) associated with cardiac contraction and ejection of blood and with the deceleration of bloodow through the large blood vessels, and produces useful signals, one of which is the heart rate.Sample data are then processed by via computational stigmergy. Each sample is associated with a deposit of digital pheromone, called mark, dened in a mono-dimensional space and characterized by evaporation over time. Close samples are aggregated into functional structures called trails. A similarity between trails is then computed and a clustering algorithm is applied.The outcome is a similarity between days of the same subject. At the end an anomaly index ranks the anomaly level of new day or series of days. [show more]
See at:
etd.adm.unipi.it | CNR IRIS | CNR IRIS
2019
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Deep Learning of Sleep Quality based on Ballistocardiographic sensors, Stigmergic Perceptrons and LSTM Networks
Culcasi F. P., Palumbo F.
The negative effects due to inadequate sleep in human beings of any age are well known. Neuroscientists and sleep experts work every day to understand how and what makes sleep more effective in its physical and mental recovery action. Among the most adopted techniques, the standard for the measureme... nt of vital parameters on sleeping subjects is certainly Polysomnography. It is a method that involves many sensors and a laboratory environment, factors that introduce inconveniences that could negatively influence the sleep of the individual himself.In this thesis we will base the experimentation on signals obtained through Ballistocardiography, a portable and less intrusive technique that deduces the heartbeat and respiratory acts based on the accelerations of the body lying on the bed due to forces imparted by the heart to the mass of blood that is pumped to the peripheral body systems.In order to solve the problem of the parametric complexity of explicit analytical models of sleep quality in terms of "sleep architecture", in this work we propose a Deep Learning architecture based on multiple levels of Stigmergic Perceptrons. This approach describes a soft classification technique on time series with respect to a collection of archetypes, each representing a different behavioral class.Finally, the Deep Learning architecture is integrated with recurrent Long Short-Term Memory networks, known in literature for the classification of time series, above all for their ability to solve the problem of long-term dependencies over time. This technology is appropriate in order to establish a classifier able to recognize the level of quality of sleep declared by the subjects of the measurements and confirmed by a result obtained through the application of quantitative heuristics. [show more]
Culcasi F. P., Palumbo F.
The negative effects due to inadequate sleep in human beings of any age are well known. Neuroscientists and sleep experts work every day to understand how and what makes sleep more effective in its physical and mental recovery action. Among the most adopted techniques, the standard for the measureme... nt of vital parameters on sleeping subjects is certainly Polysomnography. It is a method that involves many sensors and a laboratory environment, factors that introduce inconveniences that could negatively influence the sleep of the individual himself.In this thesis we will base the experimentation on signals obtained through Ballistocardiography, a portable and less intrusive technique that deduces the heartbeat and respiratory acts based on the accelerations of the body lying on the bed due to forces imparted by the heart to the mass of blood that is pumped to the peripheral body systems.In order to solve the problem of the parametric complexity of explicit analytical models of sleep quality in terms of "sleep architecture", in this work we propose a Deep Learning architecture based on multiple levels of Stigmergic Perceptrons. This approach describes a soft classification technique on time series with respect to a collection of archetypes, each representing a different behavioral class.Finally, the Deep Learning architecture is integrated with recurrent Long Short-Term Memory networks, known in literature for the classification of time series, above all for their ability to solve the problem of long-term dependencies over time. This technology is appropriate in order to establish a classifier able to recognize the level of quality of sleep declared by the subjects of the measurements and confirmed by a result obtained through the application of quantitative heuristics. [show more]
See at:
etd.adm.unipi.it | CNR IRIS | CNR IRIS
2021
Conference article
Open Access
Inclusion design and functionalities of a personalized virtual coach for wellbeing to facilitate a universal access for older adults
El Kamali M, Angelini L, Caon M, Carrino F, Standoli Ce, Perego P, Andreoni G, Palumbo F, Mastropietro A, Khaled Oa, Mugellini E
The current research proposes a technological system "NESTORE" designed for and with older adults in four different countries in order to improve and sustain their wellbeing. The system personalized activities and architecture, co-designed interfaces, and its multilingual aspect aim to establish an ... 'inclusion' criterion based on the user's sociocultural profile and health condition. [show more]DOI: 10.1007/978-3-030-74605-6_30
Project(s): NESTORE
Metrics:
El Kamali M, Angelini L, Caon M, Carrino F, Standoli Ce, Perego P, Andreoni G, Palumbo F, Mastropietro A, Khaled Oa, Mugellini E
The current research proposes a technological system "NESTORE" designed for and with older adults in four different countries in order to improve and sustain their wellbeing. The system personalized activities and architecture, co-designed interfaces, and its multilingual aspect aim to establish an ... 'inclusion' criterion based on the user's sociocultural profile and health condition. [show more]DOI: 10.1007/978-3-030-74605-6_30
Project(s): NESTORE
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | CNR IRIS | CNR IRIS
2023
Conference article
Open Access
Intelligent environments for longevity and active aging. The role of technology solutions in revolutionizing healthcare
Palumbo F.
The rapid increase in the aging population has brought about the need for new solutions in healthcare. Intelligent environments offer a promising approach for promoting longevity and active aging through the use of technology solutions. In this paper, following the author's journey in the field, we ... explore the role of intelligent environments in revolutionizing healthcare, and we discuss their potential to enhance the quality of life for older adults. We also provide an overview of some of the key technological solutions that are being developed to support intelligent environments for longevity and active aging. [show more]Source: AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, vol. 32, pp. 176-185. Mauritius, 27-30/06/2023
DOI: 10.3233/aise230030
Metrics:
Palumbo F.
The rapid increase in the aging population has brought about the need for new solutions in healthcare. Intelligent environments offer a promising approach for promoting longevity and active aging through the use of technology solutions. In this paper, following the author's journey in the field, we ... explore the role of intelligent environments in revolutionizing healthcare, and we discuss their potential to enhance the quality of life for older adults. We also provide an overview of some of the key technological solutions that are being developed to support intelligent environments for longevity and active aging. [show more]Source: AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, vol. 32, pp. 176-185. Mauritius, 27-30/06/2023
DOI: 10.3233/aise230030
Metrics:
2024
Contribution to journal
Open Access
3P Evaluating conversational generative pre-trained transformer (ChatGPT) as a tool in early breast cancer (eBC) cases
Patanè F., Palumbo F., Lorenzini G., Bargagna I., Cinacchi P., Albanese I., Bilancio D., Pantaleo F., Acconci G., Bianchini G., Baldacci E., La Commare M., Fratini B., Fontana A.
Background ChatGPT is a web interface chatbot based on a large language model with the aim to mimic human conversation tuned with machine learning and supervised techniques, that have gained scientific attention wondering if it can be a tool in medical decision. Methods We tasked ChatGPT 4.0 with cr... eating a multidisciplinary team (MDT) chat and provided it with clinical data from patients (pts) diagnosed with hormone receptor (HR)-positive, human epidermal growth factor receptor 2-negative eBC with an intermediate clinico-pathological risk. These pts were candidates for the Oncotype DX® genomic test. Our goal was to compare our MDT recommendations with those generated by ChatGPT’s and assess the consistency of its responses. Results We gathered data from 100 consecutive pts: median age 57, evenly split between stages I and II, 35 premenopausal. By supplying clinical details (age, stage, menopausal status, HR expression, grading, ki67, comorbidity), we asked ChatGPT to assess the need for Oncotype DX®. Each case was presented 9 times in varied chats to test repeatability, yielding a modal vector with a mean variation ratio of 0.181. Only in 31 pts it always recommended a genomic test. Summarizing ChatGPT's most frequent advices for each patient, it recommended genomic test for 61 pts. Next, we provided Recurrence Scores of the 61 pts, asking for chemotherapy (CT) recommendations. The mean variation ratio in responses was 0.069. The Cohen's kappa coefficient for inter-rater agreement between ChatGPT's and actual CT recommendations was 0.62. ChatGPT did not consider clinical risk but only menopausal status for endocrine therapy: tamoxifen if premenopausal, aromatase inhibitor if postmenopausal. When asked for concurrent CT and genomic test advice, its responses were inconsistent, offering CT for almost all pts regardless of genomic testing recommendation. Conclusions ChatGPT is a generative model capable of producing data that attempts to capture the statistical distribution of its training dataset, but without reasoning abilities. Its low repeatability, along with suboptimal inter-rater agreement, mean it cannot yet replace an MDT. Effective clinical integration requires identifying areas where ChatGPT's knowledge is beneficial. [show more]Source: ESMO OPEN, vol. 9 (issue Supplement 1)
DOI: 10.1016/j.esmoop.2024.102258
Metrics:
Patanè F., Palumbo F., Lorenzini G., Bargagna I., Cinacchi P., Albanese I., Bilancio D., Pantaleo F., Acconci G., Bianchini G., Baldacci E., La Commare M., Fratini B., Fontana A.
Background ChatGPT is a web interface chatbot based on a large language model with the aim to mimic human conversation tuned with machine learning and supervised techniques, that have gained scientific attention wondering if it can be a tool in medical decision. Methods We tasked ChatGPT 4.0 with cr... eating a multidisciplinary team (MDT) chat and provided it with clinical data from patients (pts) diagnosed with hormone receptor (HR)-positive, human epidermal growth factor receptor 2-negative eBC with an intermediate clinico-pathological risk. These pts were candidates for the Oncotype DX® genomic test. Our goal was to compare our MDT recommendations with those generated by ChatGPT’s and assess the consistency of its responses. Results We gathered data from 100 consecutive pts: median age 57, evenly split between stages I and II, 35 premenopausal. By supplying clinical details (age, stage, menopausal status, HR expression, grading, ki67, comorbidity), we asked ChatGPT to assess the need for Oncotype DX®. Each case was presented 9 times in varied chats to test repeatability, yielding a modal vector with a mean variation ratio of 0.181. Only in 31 pts it always recommended a genomic test. Summarizing ChatGPT's most frequent advices for each patient, it recommended genomic test for 61 pts. Next, we provided Recurrence Scores of the 61 pts, asking for chemotherapy (CT) recommendations. The mean variation ratio in responses was 0.069. The Cohen's kappa coefficient for inter-rater agreement between ChatGPT's and actual CT recommendations was 0.62. ChatGPT did not consider clinical risk but only menopausal status for endocrine therapy: tamoxifen if premenopausal, aromatase inhibitor if postmenopausal. When asked for concurrent CT and genomic test advice, its responses were inconsistent, offering CT for almost all pts regardless of genomic testing recommendation. Conclusions ChatGPT is a generative model capable of producing data that attempts to capture the statistical distribution of its training dataset, but without reasoning abilities. Its low repeatability, along with suboptimal inter-rater agreement, mean it cannot yet replace an MDT. Effective clinical integration requires identifying areas where ChatGPT's knowledge is beneficial. [show more]Source: ESMO OPEN, vol. 9 (issue Supplement 1)
DOI: 10.1016/j.esmoop.2024.102258
Metrics:
See at:
ESMO Open | CNR IRIS | www.esmoopen.com | IRIS Cnr | IRIS Cnr | CNR IRIS
2013
Other
Restricted
Steps toward end-to-end personalized AAL services
Cesta A, Coraci L, Cortellessa G, De Benedictis R, Orlandini A, Palumbo F, Stimec A
Quite an amount of effort has been given in Ambient Assisted Living ap- plications to the issue of gathering continuous information at home, standardizing formats in order to create environments more easily, extracting further information from raw data using different techniques to reconstruct a con... text. One aspect that is rather important but less developed in current investigation is the design of person- alized end-to-end services for classes of users of such technology being them either primary user (older people) or secondary users (medical doctors, caregiver, rela- tives). This paper describes the current effort in the EU GIRAFFPLUS project for designing and implementing such services on top of a state-of-the-art continuous data gathering infrastructure. In particular after presenting the general integrated idea pursued in the project we will describe a service for personalized interaction and visualization and its specialization for primary and secondary users. [show more]Project(s): GIRAFF+
Cesta A, Coraci L, Cortellessa G, De Benedictis R, Orlandini A, Palumbo F, Stimec A
Quite an amount of effort has been given in Ambient Assisted Living ap- plications to the issue of gathering continuous information at home, standardizing formats in order to create environments more easily, extracting further information from raw data using different techniques to reconstruct a con... text. One aspect that is rather important but less developed in current investigation is the design of person- alized end-to-end services for classes of users of such technology being them either primary user (older people) or secondary users (medical doctors, caregiver, rela- tives). This paper describes the current effort in the EU GIRAFFPLUS project for designing and implementing such services on top of a state-of-the-art continuous data gathering infrastructure. In particular after presenting the general integrated idea pursued in the project we will describe a service for personalized interaction and visualization and its specialization for primary and secondary users. [show more]Project(s): GIRAFF+
2013
Conference article
Restricted
Multisensor data fusion for activity recognition based on reservoir computing
Palumbo F, Barsocchi P, Gallicchio C, Chessa S, Micheli A
Ambient Assisted Living facilities provide assistance and care for the elderly, where it is useful to infer their daily activity for ensuring their safety and successful ageing. In this work, we present an Activity Recognition system that classifies a set of common daily activities exploiting both t... he data sampled by accelerometer sensors carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. To this end, we model the accelerometer and the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks implemented as efficient Echo State Networks (ESNs), within the Reser- voir Computing paradigm. Our results show that, with an appropriate configuration of the ESN, the system reaches a good accuracy with a low deployment cost. [show more]DOI: 10.1007/978-3-642-41043-7_3
Project(s): UNIVERSAAL
Metrics:
Palumbo F, Barsocchi P, Gallicchio C, Chessa S, Micheli A
Ambient Assisted Living facilities provide assistance and care for the elderly, where it is useful to infer their daily activity for ensuring their safety and successful ageing. In this work, we present an Activity Recognition system that classifies a set of common daily activities exploiting both t... he data sampled by accelerometer sensors carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. To this end, we model the accelerometer and the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks implemented as efficient Echo State Networks (ESNs), within the Reser- voir Computing paradigm. Our results show that, with an appropriate configuration of the ESN, the system reaches a good accuracy with a low deployment cost. [show more]DOI: 10.1007/978-3-642-41043-7_3
Project(s): UNIVERSAAL
Metrics:
See at:
doi.org | CNR IRIS | CNR IRIS | link.springer.com
2013
Other
Restricted
GiraffPlus - Second Prototype of sensors, Giraff platform and network system
Palumbo F, Furfari F, Cardaci A, Lindén M, Koshmak G, Von Rump S, Coradeschi S, Loufti A, Stimec Al
This document reports on the second prototype of the system that is going to be deployed and installed at 6 test sites. The second prototype at month 18 provides the Giraff robot and the sensors integrated in a flexible and robust communication infrastructure. A middleware solution helps to integrat... e the software components developed by the WP3 and WP4 and enhanced Giraff platform with safer and semi-autonomous mobility features. Currently the prototype includes the Giraff robot, the Look4Myhealth kit, the monitoring sensors from Tunstall, additional environmental sensors, a physiological sensor for pulse oximetry measurements based on Android, the context recognition and configuration planning modules, and the remote storage and repository to collect user data. A new olfactory sensor is also considered that can be placed in strategic location like the fridge or near the garbage can and give alarms if needed. A new version of the middleware is presented and the semi-autonomy features for the giraffe robot are described. [show more]Project(s): GIRAFF+
Palumbo F, Furfari F, Cardaci A, Lindén M, Koshmak G, Von Rump S, Coradeschi S, Loufti A, Stimec Al
This document reports on the second prototype of the system that is going to be deployed and installed at 6 test sites. The second prototype at month 18 provides the Giraff robot and the sensors integrated in a flexible and robust communication infrastructure. A middleware solution helps to integrat... e the software components developed by the WP3 and WP4 and enhanced Giraff platform with safer and semi-autonomous mobility features. Currently the prototype includes the Giraff robot, the Look4Myhealth kit, the monitoring sensors from Tunstall, additional environmental sensors, a physiological sensor for pulse oximetry measurements based on Android, the context recognition and configuration planning modules, and the remote storage and repository to collect user data. A new olfactory sensor is also considered that can be placed in strategic location like the fridge or near the garbage can and give alarms if needed. A new version of the middleware is presented and the semi-autonomy features for the giraffe robot are described. [show more]Project(s): GIRAFF+
2014
Journal article
Open Access
Sensor network infrastructure for a home care monitoring system
Palumbo F, Ullberg J, Timec A, Furfari F, Karlsson L, Coradeschi S
This paper presents the sensor network infrastructure for a home care system that allows long-term monitoring of physiological data and everyday activities. The aim of the proposed system is to allow the elderly to live longer in their home without compromising safety and ensuring the detection of h... ealth problems. The system offers the possibility of a virtual visit via a teleoperated robot. During the visit, physiological data and activities occurring during a period of time can be discussed. These data are collected from physiological sensors (e.g., temperature, blood pressure, glucose) and environmental sensors (e.g., motion, bed/chair occupancy, electrical usage). The system can also give alarms if sudden problems occur, like a fall, and warnings based on more long-term trends, such as the deterioration of health being detected. It has been implemented and tested in a test environment and has been deployed in six real homes for a year-long evaluation. The key contribution of the paper is the presentation of an implemented system for ambient assisted living (AAL) tested in a real environment, combining the acquisition of sensor data, a flexible and adaptable middleware compliant with the OSGistandard and a context recognition application. The system has been developed in a European project called GiraffPlus. [show more]Source: SENSORS (BASEL), vol. 14, pp. 3833-3860
DOI: 10.3390/s140303833
Project(s): GIRAFF+
Metrics:
Palumbo F, Ullberg J, Timec A, Furfari F, Karlsson L, Coradeschi S
This paper presents the sensor network infrastructure for a home care system that allows long-term monitoring of physiological data and everyday activities. The aim of the proposed system is to allow the elderly to live longer in their home without compromising safety and ensuring the detection of h... ealth problems. The system offers the possibility of a virtual visit via a teleoperated robot. During the visit, physiological data and activities occurring during a period of time can be discussed. These data are collected from physiological sensors (e.g., temperature, blood pressure, glucose) and environmental sensors (e.g., motion, bed/chair occupancy, electrical usage). The system can also give alarms if sudden problems occur, like a fall, and warnings based on more long-term trends, such as the deterioration of health being detected. It has been implemented and tested in a test environment and has been deployed in six real homes for a year-long evaluation. The key contribution of the paper is the presentation of an implemented system for ambient assisted living (AAL) tested in a real environment, combining the acquisition of sensor data, a flexible and adaptable middleware compliant with the OSGistandard and a context recognition application. The system has been developed in a European project called GiraffPlus. [show more]Source: SENSORS (BASEL), vol. 14, pp. 3833-3860
DOI: 10.3390/s140303833
Project(s): GIRAFF+
Metrics:
See at:
Sensors | Sensors | CNR IRIS | Sensors | Sensors | CNR IRIS | urn.kb.se