2025
Journal article
Open Access
StepLogger and EvaalScore: the software suite of the IPIN onsite indoor localization competition
Girolami M., Baronti P., Potortì F., Crivello A., Palumbo F.
This paper illustrates the software suite developed for Track 1 of the IPIN competition, which evaluates smartphone apps for indoor localization. Competitors have one day before the trial day to survey the competition area. On the trial day, an independent “actor” carries the competing system on smartphone and walks a predefined path. Competing systems provide continuous location estimates, which are later compared to a ground truth. We describe the software suite used to gather and present the results: the StepLogger Android application for real-time logging of position estimates and the EvaalScore tool for performance evaluation. StepLogger collects location estimating data from competitors with a timestamp, while EvaalScore calculates the accuracy of the competing systems. The competition ranking is based on the third quartile of point localization error. The presented software suite ensures a standardized and fair assessment of competing systems, thus promoting reproducibility and transparency in indoor localization research.Source: SOFTWAREX, vol. 30
DOI: 10.1016/j.softx.2025.102115
Project(s): Age-IT
Metrics:
Girolami M., Baronti P., Potortì F., Crivello A., Palumbo F.
This paper illustrates the software suite developed for Track 1 of the IPIN competition, which evaluates smartphone apps for indoor localization. Competitors have one day before the trial day to survey the competition area. On the trial day, an independent “actor” carries the competing system on smartphone and walks a predefined path. Competing systems provide continuous location estimates, which are later compared to a ground truth. We describe the software suite used to gather and present the results: the StepLogger Android application for real-time logging of position estimates and the EvaalScore tool for performance evaluation. StepLogger collects location estimating data from competitors with a timestamp, while EvaalScore calculates the accuracy of the competing systems. The competition ranking is based on the third quartile of point localization error. The presented software suite ensures a standardized and fair assessment of competing systems, thus promoting reproducibility and transparency in indoor localization research.Source: SOFTWAREX, vol. 30
DOI: 10.1016/j.softx.2025.102115
Project(s): Age-IT
Metrics:
See at:
CNR IRIS 
| www.sciencedirect.com | CNR IRIS 
| CNR IRIS
2025
Conference article
Restricted
Performing audiometry using pupillometry: state-of-the-market and sensor selection
Crivello A., La Rosa D., Belli D., Milazzo M., Palumbo F.
Hearing impairment poses a significant global health challenge, impacting millions of individuals across all age groups. Early detection and intervention are paramount, especially in infants and young children, to mitigate the adverse effects on speech, language, and cognitive development. Traditional audiometry methods, however, rely on subjective patient responses, rendering them unsuitable for non-collaborative individuals such as infants, newborns, and those with cognitive impairments. To address this limitation, the APURE (Audiometry with PUpil REsponse) project seeks to develop an objective audiometer leveraging pupillometry, the measurement of pupil size and reactivity. This paper presents a comprehensive state-of-the-market survey of eye-tracking systems, a crucial step in identifying the most suitable sensors for the APURE project.Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING, vol. 612, pp. 159-169. Heraklion, Crete, Greece, 17–18/09/2024
DOI: 10.1007/978-3-031-85575-7_9
Metrics:
Crivello A., La Rosa D., Belli D., Milazzo M., Palumbo F.
Hearing impairment poses a significant global health challenge, impacting millions of individuals across all age groups. Early detection and intervention are paramount, especially in infants and young children, to mitigate the adverse effects on speech, language, and cognitive development. Traditional audiometry methods, however, rely on subjective patient responses, rendering them unsuitable for non-collaborative individuals such as infants, newborns, and those with cognitive impairments. To address this limitation, the APURE (Audiometry with PUpil REsponse) project seeks to develop an objective audiometer leveraging pupillometry, the measurement of pupil size and reactivity. This paper presents a comprehensive state-of-the-market survey of eye-tracking systems, a crucial step in identifying the most suitable sensors for the APURE project.Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING, vol. 612, pp. 159-169. Heraklion, Crete, Greece, 17–18/09/2024
DOI: 10.1007/978-3-031-85575-7_9
Metrics:
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CNR IRIS | CNR IRIS | CNR IRIS | link.springer.com
2024
Conference article
Restricted
A novel architectural schema for constant monitoring and assessment of older adults’ health status at Home
Barsocchi P., Belli D., Gabrielli E., La Rosa D., Miori V., Palumbo F., Russo D., Tolomei G.
In recent years the demand for health care among older adults, along with requests for hospitalization and related costs, has increased at an unprecedented rate. In the coming decades, this trend is likely to worsen. This detrimental tendency can be mitigated by addressing the problem with a proactive approach. The goal is to ensure continuous monitoring of the older’s health status to promptly detect worsening and disease onsets. The paper extends the mid-term results of the Project ChAALenge, by detailing the sensors and the framework underlying the high-level predictive techniques, as well as by reporting qualitative results in terms of physiological measurements from a 4-month data collection campaign in a nursing home.Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING, vol. 572, pp. 501-511. Malmö, Sweden, 27-29/11/2023
DOI: 10.1007/978-3-031-59717-6_33
Metrics:
Barsocchi P., Belli D., Gabrielli E., La Rosa D., Miori V., Palumbo F., Russo D., Tolomei G.
In recent years the demand for health care among older adults, along with requests for hospitalization and related costs, has increased at an unprecedented rate. In the coming decades, this trend is likely to worsen. This detrimental tendency can be mitigated by addressing the problem with a proactive approach. The goal is to ensure continuous monitoring of the older’s health status to promptly detect worsening and disease onsets. The paper extends the mid-term results of the Project ChAALenge, by detailing the sensors and the framework underlying the high-level predictive techniques, as well as by reporting qualitative results in terms of physiological measurements from a 4-month data collection campaign in a nursing home.Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING, vol. 572, pp. 501-511. Malmö, Sweden, 27-29/11/2023
DOI: 10.1007/978-3-031-59717-6_33
Metrics:
See at:
doi.org | Archivio della ricerca- Università di Roma La Sapienza | CNR IRIS | CNR IRIS | CNR IRIS | link.springer.com
2024
Conference article
Open Access
Design of postural analysis and indoor localization services in AAL scenarios
Barsocchi P., Girolami M., Palumbo F.
Advancements in Ambient Assisted Living (AAL) technology have enabled innovative solutions to enhance the quality of life for older adults. The AA@THE project focuses on personalized coaching and monitoring systems to prevent risky conditions and promote healthy ageing. Two crucial domains, sedentariness and stability, are addressed through advanced technologies such as proximity detection and postural analysis services. By analyzing these specific health and behavioural aspects, personalized feedback is provided to improve overall well-being.Source: LECTURE NOTES IN BIOENGINEERING, pp. 157-160. Bari, Italy, 14-16/06/2023
DOI: 10.1007/978-3-031-63913-5_14
Project(s): Tuscany Health Ecosystem
Metrics:
Barsocchi P., Girolami M., Palumbo F.
Advancements in Ambient Assisted Living (AAL) technology have enabled innovative solutions to enhance the quality of life for older adults. The AA@THE project focuses on personalized coaching and monitoring systems to prevent risky conditions and promote healthy ageing. Two crucial domains, sedentariness and stability, are addressed through advanced technologies such as proximity detection and postural analysis services. By analyzing these specific health and behavioural aspects, personalized feedback is provided to improve overall well-being.Source: LECTURE NOTES IN BIOENGINEERING, pp. 157-160. Bari, Italy, 14-16/06/2023
DOI: 10.1007/978-3-031-63913-5_14
Project(s): Tuscany Health Ecosystem
Metrics:
See at:
CNR IRIS | link.springer.com | doi.org | CNR IRIS | CNR IRIS
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 creating 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.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 creating 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.Source: ESMO OPEN, vol. 9 (issue Supplement 1)
DOI: 10.1016/j.esmoop.2024.102258
Metrics:
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ESMO Open | CNR IRIS | www.esmoopen.com | IRIS Cnr | IRIS Cnr | CNR IRIS
2023
Other
Restricted
THE D.3.2.1 - AA@THE User needs, technical requirements and specifications
Pratali L, Campana M G, Delmastro F, Di Martino F, Pescosolido L, Barsocchi P, Broccia G, Ciancia V, Gennaro C, Girolami M, Lagani G, La Rosa D, Latella D, Magrini M, Manca M, Massink M, Mattioli A, Moroni D, Palumbo F, Paradisi P, Paternò F, Santoro C, Sebastiani L, Vairo C
Deliverable D3.2.1 del progetto PNRR Ecosistemi ed innovazione - THE
Pratali L, Campana M G, Delmastro F, Di Martino F, Pescosolido L, Barsocchi P, Broccia G, Ciancia V, Gennaro C, Girolami M, Lagani G, La Rosa D, Latella D, Magrini M, Manca M, Massink M, Mattioli A, Moroni D, Palumbo F, Paradisi P, Paternò F, Santoro C, Sebastiani L, Vairo C
Deliverable D3.2.1 del progetto PNRR Ecosistemi ed innovazione - THE
2023
Conference article
Open Access
IoT smart shoe solution for neuromuscular disease monitoring
La Rosa D, Palumbo F, Ronca A, Sansone F, Tesconi M, Tonacci A, Conte R
Recent advances in sensing, processing, and learning of physiological parameters, make the development of non-invasive health monitoring systems increasingly effective, especially in those situations that need particular attention to the usability of devices and software solutions due to the frailty of the target population. In this context, we developed a sensorized shoe that detects significant features in subjects' gait and monitors variations related to an intervention protocol in people affected by Neuromuscular Disorders (NMDs). This paper outlines the challenges in the field and summarizes the approach used to overcome the technological barriers related to connectivity, deployment, and usability that are typical in a medical setting. The proposed solution adopts the new paradigm offered by Web Bluetooth based on Bluetooth WebSocket. We show the architectural and deployment choices and how this solution can be easily adapted to different devices and scenarios.Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING (INTERNET), pp. 104-115. Thessaloniki, Greece, 12-14/12/2022
DOI: 10.1007/978-3-031-34586-9_8
Metrics:
La Rosa D, Palumbo F, Ronca A, Sansone F, Tesconi M, Tonacci A, Conte R
Recent advances in sensing, processing, and learning of physiological parameters, make the development of non-invasive health monitoring systems increasingly effective, especially in those situations that need particular attention to the usability of devices and software solutions due to the frailty of the target population. In this context, we developed a sensorized shoe that detects significant features in subjects' gait and monitors variations related to an intervention protocol in people affected by Neuromuscular Disorders (NMDs). This paper outlines the challenges in the field and summarizes the approach used to overcome the technological barriers related to connectivity, deployment, and usability that are typical in a medical setting. The proposed solution adopts the new paradigm offered by Web Bluetooth based on Bluetooth WebSocket. We show the architectural and deployment choices and how this solution can be easily adapted to different devices and scenarios.Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING (INTERNET), pp. 104-115. Thessaloniki, Greece, 12-14/12/2022
DOI: 10.1007/978-3-031-34586-9_8
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | CNR IRIS | CNR IRIS
2023
Journal article
Open Access
Enerduino-pro: smart meter led probe using Arduino
Potortì F., La Rosa D., Palumbo F.
Non-intrusive load monitoring of domestic appliances has received steady interest in the last twenty years, first because of interest from energy companies interested in usage statistics for power balancing and, more recently, in order to assist users in tuning their habits for reduced power consumption. This has increased the need for accurate and economic methods of power measurement that can be efficiently implemented on cheap and easy-to-install platforms. To this end, we present a cheap and efficient device based on Arduino to monitor the usage of domestic appliances in real-time: Enerduino-pro. The design uses low-cost easy-to-assemble open-source electronic components and consists of four main parts: an Arduino UNO microcontroller, one photoresistor to measure instantaneous power absorption plus one optional additional one to measure reactive power, a WiFi shield, and an LED (for debugging purposes only). We describe the device, complete with open software and hardware specifications, and different use cases with proof-of-concept solutions.Source: HARDWAREX, vol. 15
DOI: 10.1016/j.ohx.2023.e00461
Metrics:
Potortì F., La Rosa D., Palumbo F.
Non-intrusive load monitoring of domestic appliances has received steady interest in the last twenty years, first because of interest from energy companies interested in usage statistics for power balancing and, more recently, in order to assist users in tuning their habits for reduced power consumption. This has increased the need for accurate and economic methods of power measurement that can be efficiently implemented on cheap and easy-to-install platforms. To this end, we present a cheap and efficient device based on Arduino to monitor the usage of domestic appliances in real-time: Enerduino-pro. The design uses low-cost easy-to-assemble open-source electronic components and consists of four main parts: an Arduino UNO microcontroller, one photoresistor to measure instantaneous power absorption plus one optional additional one to measure reactive power, a WiFi shield, and an LED (for debugging purposes only). We describe the device, complete with open software and hardware specifications, and different use cases with proof-of-concept solutions.Source: HARDWAREX, vol. 15
DOI: 10.1016/j.ohx.2023.e00461
Metrics:
See at:
CNR IRIS | ISTI Repository | www.sciencedirect.com | CNR IRIS
2023
Journal article
Open Access
Connectivity standards alliance matter: state of the art and opportunities
Belli D, Barsocchi P, Palumbo F
Matter is an open-source, royalty-free connectivity standard developed by the Connectivity Standards Alliance (CSA-IoT). It aims to unify smart home devices and increase their compatibility across various ecosystems. Backed by major tech companies like Apple, Google, Amazon, and the Zigbee Alliance, Matter simplifies the development of IoT devices by providing a unified approach to connectivity. It offers a secure, reliable, and seamless way for devices to communicate and interact, regardless of the manufacturer.This paper aims to present the current state of adoption of the Matter specification by devices available on the market, and the certification process by the available software. It describes the main characteristics of Matter in its Specification 1.0 state, reviewing the features and functionalities of the Matter protocol, as well as the opportunities for its use and the challenges for its large-scale adoption in Matter-compliant IoT devices.We discuss the impact of Matter on IoT technologies and ecosystems, providing guidance for manufacturers and consumers. We analyze the emerging research challenges in its adoption and propose our recommendations on how to improve and extend this protocol for better use in the future.Source: INTERNET OF THINGS, vol. 25
DOI: 10.1016/j.iot.2023.101005
Metrics:
Belli D, Barsocchi P, Palumbo F
Matter is an open-source, royalty-free connectivity standard developed by the Connectivity Standards Alliance (CSA-IoT). It aims to unify smart home devices and increase their compatibility across various ecosystems. Backed by major tech companies like Apple, Google, Amazon, and the Zigbee Alliance, Matter simplifies the development of IoT devices by providing a unified approach to connectivity. It offers a secure, reliable, and seamless way for devices to communicate and interact, regardless of the manufacturer.This paper aims to present the current state of adoption of the Matter specification by devices available on the market, and the certification process by the available software. It describes the main characteristics of Matter in its Specification 1.0 state, reviewing the features and functionalities of the Matter protocol, as well as the opportunities for its use and the challenges for its large-scale adoption in Matter-compliant IoT devices.We discuss the impact of Matter on IoT technologies and ecosystems, providing guidance for manufacturers and consumers. We analyze the emerging research challenges in its adoption and propose our recommendations on how to improve and extend this protocol for better use in the future.Source: INTERNET OF THINGS, vol. 25
DOI: 10.1016/j.iot.2023.101005
Metrics:
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CNR IRIS | ISTI Repository | www.sciencedirect.com | CNR IRIS
2023
Other
Restricted
ChAALenge D6.3 - Integrazione in laboratorio e analisi delle prestazioni
Bacco F. M., Baronti P., Barsocchi P., Belli D., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Miori V., Palumbo F., Potortì F., Russo D.
Report di laboratorio di analisi dei risultati dell’integrazione e indagine prestazionale sul framework integrato contenente: (i) Risultati attinenti alla validità dei dati acquisiti dal framework, al fine del loro efficiente utilizzo da parte degli algoritmi sviluppati; (ii) Risultati riguardanti la correttezza, completezza e affidabilità dell’esito della sperimentazione sia in laboratorio sia sul campo e relativi alla valutazione prestazionale del software di sistema.Project(s): ChAALenge
Bacco F. M., Baronti P., Barsocchi P., Belli D., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Miori V., Palumbo F., Potortì F., Russo D.
Report di laboratorio di analisi dei risultati dell’integrazione e indagine prestazionale sul framework integrato contenente: (i) Risultati attinenti alla validità dei dati acquisiti dal framework, al fine del loro efficiente utilizzo da parte degli algoritmi sviluppati; (ii) Risultati riguardanti la correttezza, completezza e affidabilità dell’esito della sperimentazione sia in laboratorio sia sul campo e relativi alla valutazione prestazionale del software di sistema.Project(s): ChAALenge
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.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.Source: AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, vol. 32, pp. 176-185. Mauritius, 27-30/06/2023
DOI: 10.3233/aise230030
Metrics:
2022
Conference article
Open Access
Trends in smartphone-based indoor localisation
Potortì F., Crivello A., Palumbo F., Girolami M., Barsocchi P.
Indoor localisation is a thriving field, whose progresses are mainly led by innovations in sensor technology, both hardware and software. With a focus on smartphone-based personal navigation, we examine the evolution of sensing technologies in eleven leading applications. In order to select applications we choose among independently-tested prototypes, as opposed to simulation or laboratory-only experiments. To this end, we look at the best performers in the smartphone-based Tracks of IPIN competitions. This selection is particularly severe and significant, as this competition Track is performed live, without an opportunity for competitors to instrument or prepare the site or to know the path in advance and with only two attempts allowed, of which the best result is taken. An independent actor holds in hand the smartphone running the competing system, and results are downloaded from the phone immediately after the competition path is completed, without any post-processing. We show how sensing technologies have evolved from 2014 to 2019 and show a trend towards improving accuracy performance. Last, we provide insight in the role that sensors and algorithms play in the evolution of smartphone-based indoor localisation solutions.DOI: 10.1109/ipin51156.2021.9662530
Metrics:
Potortì F., Crivello A., Palumbo F., Girolami M., Barsocchi P.
Indoor localisation is a thriving field, whose progresses are mainly led by innovations in sensor technology, both hardware and software. With a focus on smartphone-based personal navigation, we examine the evolution of sensing technologies in eleven leading applications. In order to select applications we choose among independently-tested prototypes, as opposed to simulation or laboratory-only experiments. To this end, we look at the best performers in the smartphone-based Tracks of IPIN competitions. This selection is particularly severe and significant, as this competition Track is performed live, without an opportunity for competitors to instrument or prepare the site or to know the path in advance and with only two attempts allowed, of which the best result is taken. An independent actor holds in hand the smartphone running the competing system, and results are downloaded from the phone immediately after the competition path is completed, without any post-processing. We show how sensing technologies have evolved from 2014 to 2019 and show a trend towards improving accuracy performance. Last, we provide insight in the role that sensors and algorithms play in the evolution of smartphone-based indoor localisation solutions.DOI: 10.1109/ipin51156.2021.9662530
Metrics:
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CNR IRIS | ieeexplore.ieee.org | ISTI Repository | CNR IRIS | CNR IRIS
2022
Journal article
Open Access
The NESTORE e-coach: designing a multi-domain pathway to well-being in older age
Angelini L., El Kamali M., Mugellini E., Abou Khaled O., Roecke C., Porcelli S., Mastropietro A., Rizzo G., Boque N., Del Bas J. M., Palumbo F., Girolami M., Crivello A., Ziylan C., Subias-Beltran P., Orte S., Standoli C. E., Fernandez Maldonado L., Caon M., Sykora M., Elayan S., Guye S., Andreoni G.
This article describes the coaching strategies of the NESTORE e-coach, a virtual coach for promoting healthier lifestyles in older age. The novelty of the NESTORE project is the definition of a multi-domain personalized pathway where the e-coach accompanies the user throughout different structured and non-structured coaching activities and recommendations. The article also presents the design process of the coaching strategies, carried out including older adults from four European countries and experts from the different health domains, and the results of the tests carried out with 60 older adults in Italy, Spain and The Netherlands.Source: TECHNOLOGIES, vol. 10 (issue 2)
DOI: 10.3390/technologies10020050
Project(s): NESTORE
Metrics:
Angelini L., El Kamali M., Mugellini E., Abou Khaled O., Roecke C., Porcelli S., Mastropietro A., Rizzo G., Boque N., Del Bas J. M., Palumbo F., Girolami M., Crivello A., Ziylan C., Subias-Beltran P., Orte S., Standoli C. E., Fernandez Maldonado L., Caon M., Sykora M., Elayan S., Guye S., Andreoni G.
This article describes the coaching strategies of the NESTORE e-coach, a virtual coach for promoting healthier lifestyles in older age. The novelty of the NESTORE project is the definition of a multi-domain personalized pathway where the e-coach accompanies the user throughout different structured and non-structured coaching activities and recommendations. The article also presents the design process of the coaching strategies, carried out including older adults from four European countries and experts from the different health domains, and the results of the tests carried out with 60 older adults in Italy, Spain and The Netherlands.Source: TECHNOLOGIES, vol. 10 (issue 2)
DOI: 10.3390/technologies10020050
Project(s): NESTORE
Metrics:
See at:
CNR IRIS | ISTI Repository | www.mdpi.com | CNR IRIS
2022
Conference article
Open Access
A sensing platform to monitor sleep efficiency
Crivello A., La Rosa D., Wilhelm E., Palumbo F.
Sleep plays a fundamental role in the human life. Sleep research is mainly focused on the understanding of the sleep patterns, stages and duration. An accurate sleep monitoring can detect early signs of sleep deprivation and insomnia consequentially implementing mechanisms for preventing and overcoming these problems. Recently, sleep monitoring has been achieved using wearable technologies, able to analyse also the body movements, but old people can encounter some difficulties in using and maintaining these devices. In this paper, we propose an unobtrusive sensing platform able to analyze body movements, infer sleep duration and awakenings occurred along the night, and evaluating the sleep efficiency index. To prove the feasibility of the suggested method we did a pilot trial in which several healthy users have been involved. The sensors were installed within the bed and, on each day, each user was administered with the Groningen Sleep Quality Scale questionnaire to evaluate the user's perceived sleep quality. Finally, we show potential correlation between a perceived evaluation with an objective index as the sleep efficiency.DOI: 10.1007/978-3-031-08838-4_23
Metrics:
Crivello A., La Rosa D., Wilhelm E., Palumbo F.
Sleep plays a fundamental role in the human life. Sleep research is mainly focused on the understanding of the sleep patterns, stages and duration. An accurate sleep monitoring can detect early signs of sleep deprivation and insomnia consequentially implementing mechanisms for preventing and overcoming these problems. Recently, sleep monitoring has been achieved using wearable technologies, able to analyse also the body movements, but old people can encounter some difficulties in using and maintaining these devices. In this paper, we propose an unobtrusive sensing platform able to analyze body movements, infer sleep duration and awakenings occurred along the night, and evaluating the sleep efficiency index. To prove the feasibility of the suggested method we did a pilot trial in which several healthy users have been involved. The sensors were installed within the bed and, on each day, each user was administered with the Groningen Sleep Quality Scale questionnaire to evaluate the user's perceived sleep quality. Finally, we show potential correlation between a perceived evaluation with an objective index as the sleep efficiency.DOI: 10.1007/978-3-031-08838-4_23
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | doi.org | CNR IRIS | CNR IRIS
2022
Conference article
Open Access
ChAALenge: an ambient assisted living project to promote an active and health ageing
Barsocchi P, Belli D, Gabrielli E, La Rosa D, Miori V, Palumbo F, Russo D, Tolomei G
The rapid growth of older population in the next years will lead to the rapid growth in the demand of health care, resulting in an increasing difficulty in managing hospitalizations and in a prohibitive grow of costs for medical care. In this context, chronic heart failure emerges as one of the most difficult problems to be treated, especially in advanced age, and a major cause of hospitalization and death. The Project ChAALenge aims at facing the problem by proposing a proactive approach based on pervasive monitoring and artificial intelligence. The goal is to promptly stepping, before the pathology onset, with effective suggestions ranging from the request of medical examination to the adjustment of lifestyle. The current paper presents the mid-term results of the ongoing project, introducing the sensors, the middleware and the candidate artificial intelligence techniques constituting the predictive system of the older adults' health status.Source: CEUR WORKSHOP PROCEEDINGS, pp. 42-58. Udine, Italy, 28/11/2022, 02/12/2022
Barsocchi P, Belli D, Gabrielli E, La Rosa D, Miori V, Palumbo F, Russo D, Tolomei G
The rapid growth of older population in the next years will lead to the rapid growth in the demand of health care, resulting in an increasing difficulty in managing hospitalizations and in a prohibitive grow of costs for medical care. In this context, chronic heart failure emerges as one of the most difficult problems to be treated, especially in advanced age, and a major cause of hospitalization and death. The Project ChAALenge aims at facing the problem by proposing a proactive approach based on pervasive monitoring and artificial intelligence. The goal is to promptly stepping, before the pathology onset, with effective suggestions ranging from the request of medical examination to the adjustment of lifestyle. The current paper presents the mid-term results of the ongoing project, introducing the sensors, the middleware and the candidate artificial intelligence techniques constituting the predictive system of the older adults' health status.Source: CEUR WORKSHOP PROCEEDINGS, pp. 42-58. Udine, Italy, 28/11/2022, 02/12/2022
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2022
Journal article
Open Access
Nutritional and physical improvements in older adults through the DOREMI remote coaching approach: a real-world study
Vozzi F, Palumbo F, Ferro E, Kreiner K, Giugni F, Dutton R, Hall S, Musian D, Parolini M, Riso P, Parodi O
Background: Malnutrition (excess or defect) and sedentariness act as an accelerator in the older people frailty process. A systemic solution has been developed to engage older people in a healthier lifestyle using serious games and food monitoring. The study aimed to evaluate protocol influence on variables related to unhealthy behaviors improving dietary habits through a remote nutritional coaching approach and stimulating the population to increase physical activity through Exergames. Methods: Thirty-two subjects (25 Treatments and 7 Controls, aging 65-80 years), of which 15 (11 Treatments and 4 Controls) living in the UK (ACCORD and ExtraCare Villages placed in Shenley Wood (Milton Keynes), St. Crispin (Northampton), and Showell Court (Wolverhampton)) and 17 (14 Treatments and 3 Controls) in Italy (Genoa, Liguria), were recruited and characterized in terms of nutritional status, physical, somatometric, hemodynamic and biochemical measurements, and body composition. Participants were stimulated to adopt the Mediterranean dietary pattern, by a food diary diet-app, and perform regular physical activity, by the Exergame app, for three months. At the end of the trial, users underwent the same test battery. Data were tested for normality of distribution by the Shapiro-Wilk test. Comparisons between groups were performed at baseline by unpaired Student's t-test for continuous variables, chi-square test, or Fisher's exact test for categorical variables. Analysis of Variance (ANOVA) for repeated measures was used to analyze the significance of changes over time between groups. Results: At the end of the trial, significant reductions of systolic (15 mmHg, P = 0.001), diastolic (5 mmHg, P = 0.025), mean (10 mmHg, P = 0.001) blood pressure, and rate-pressure product (RPP) (1,105 mmHg*bpm, P = 0.017) values were observed in DOREMI users. A trend of improvement of physical performance by the short physical performance battery (SPPB) was observed for balance and walk subtests. A significant decrease (0.91 kg, P = 0.043) in Body Mass Index (BMI) was observed in overweight subjects (BMI >25 kg/m) after DOREMI intervention in the entire population. The Mini Nutritional Assessment (MNA) score (1, P = 0.004) significantly increased after intervention, while waist measure (3 cm, P <0.001) significantly decreased in the DOREMI users. A reduction in glycated hemoglobin (Hb) was registered (0.20%, P = 0.018) in the DOREMI UK users. Conclusions: Improvement of healthy behavior by technological tools, providing feedback between user and remote coach and increasing user's motivation, appears potentially effective. This information and communication technologies (ICT) approach offers an innovative solution to stimulate healthy eating and lifestyle behaviors, supporting clinicians in patient management.Source: INTELLIGENT MEDICINE, vol. 2 (issue 4), pp. 181-192
DOI: 10.1016/j.imed.2022.04.001
Project(s): DOREMI
Metrics:
Vozzi F, Palumbo F, Ferro E, Kreiner K, Giugni F, Dutton R, Hall S, Musian D, Parolini M, Riso P, Parodi O
Background: Malnutrition (excess or defect) and sedentariness act as an accelerator in the older people frailty process. A systemic solution has been developed to engage older people in a healthier lifestyle using serious games and food monitoring. The study aimed to evaluate protocol influence on variables related to unhealthy behaviors improving dietary habits through a remote nutritional coaching approach and stimulating the population to increase physical activity through Exergames. Methods: Thirty-two subjects (25 Treatments and 7 Controls, aging 65-80 years), of which 15 (11 Treatments and 4 Controls) living in the UK (ACCORD and ExtraCare Villages placed in Shenley Wood (Milton Keynes), St. Crispin (Northampton), and Showell Court (Wolverhampton)) and 17 (14 Treatments and 3 Controls) in Italy (Genoa, Liguria), were recruited and characterized in terms of nutritional status, physical, somatometric, hemodynamic and biochemical measurements, and body composition. Participants were stimulated to adopt the Mediterranean dietary pattern, by a food diary diet-app, and perform regular physical activity, by the Exergame app, for three months. At the end of the trial, users underwent the same test battery. Data were tested for normality of distribution by the Shapiro-Wilk test. Comparisons between groups were performed at baseline by unpaired Student's t-test for continuous variables, chi-square test, or Fisher's exact test for categorical variables. Analysis of Variance (ANOVA) for repeated measures was used to analyze the significance of changes over time between groups. Results: At the end of the trial, significant reductions of systolic (15 mmHg, P = 0.001), diastolic (5 mmHg, P = 0.025), mean (10 mmHg, P = 0.001) blood pressure, and rate-pressure product (RPP) (1,105 mmHg*bpm, P = 0.017) values were observed in DOREMI users. A trend of improvement of physical performance by the short physical performance battery (SPPB) was observed for balance and walk subtests. A significant decrease (0.91 kg, P = 0.043) in Body Mass Index (BMI) was observed in overweight subjects (BMI >25 kg/m) after DOREMI intervention in the entire population. The Mini Nutritional Assessment (MNA) score (1, P = 0.004) significantly increased after intervention, while waist measure (3 cm, P <0.001) significantly decreased in the DOREMI users. A reduction in glycated hemoglobin (Hb) was registered (0.20%, P = 0.018) in the DOREMI UK users. Conclusions: Improvement of healthy behavior by technological tools, providing feedback between user and remote coach and increasing user's motivation, appears potentially effective. This information and communication technologies (ICT) approach offers an innovative solution to stimulate healthy eating and lifestyle behaviors, supporting clinicians in patient management.Source: INTELLIGENT MEDICINE, vol. 2 (issue 4), pp. 181-192
DOI: 10.1016/j.imed.2022.04.001
Project(s): DOREMI
Metrics:
See at:
Intelligent Medicine | CNR IRIS | ISTI Repository | www.sciencedirect.com | CNR IRIS
2022
Other
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ChAALenge - D6.1: Analisi delle peculiarità di salute della popolazione anziana e definizione requisiti tecnici
Miori V., Belli D., Bacco M F., Baronti P., Barsocchi P., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Palumbo F., Pillitteri L., Potortì F., Russo D.
In questo documento viene posta particolare attenzione alla malattia dello scompenso cardiaco che è una delle maggiori cause di mortalità e disabilità nella popolazione anziana oltre ad essere la prima causa di ricovero. Sono analizzate le soluzioni di monitoraggio domestico attualmente disponibili e i requisiti tecnici da soddisfare per poter raccogliere e analizzare i dati fisiologici nell'ambiente di vita e riconoscere situazioni di insorgenza o peggioramento di patologie nell'anziano.
Miori V., Belli D., Bacco M F., Baronti P., Barsocchi P., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Palumbo F., Pillitteri L., Potortì F., Russo D.
In questo documento viene posta particolare attenzione alla malattia dello scompenso cardiaco che è una delle maggiori cause di mortalità e disabilità nella popolazione anziana oltre ad essere la prima causa di ricovero. Sono analizzate le soluzioni di monitoraggio domestico attualmente disponibili e i requisiti tecnici da soddisfare per poter raccogliere e analizzare i dati fisiologici nell'ambiente di vita e riconoscere situazioni di insorgenza o peggioramento di patologie nell'anziano.
2022
Other
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ChAALenge D5.2 - Documento di definizione degli algoritmi di Machine Learning e Deep Learning
Miori V., Belli D., Bacco F. M., Baronti P., Barsocchi P., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Palumbo F., Pillitteri L., Potortì F., Russo D.
Il deliverable ha come obiettivo la definizione di un percorso intraprendibile per lo sviluppo di un modello predittivo, efficace ed efficiente, basato sul paradigma machine learning, sviluppato in funzione del dominio applicativo in esame e dei dati a disposizione. Una parte verrà dedicata all'introduzione degli aspetti principali legati alle strategie di individuazione di anomalie in serie temporali multi-variate tramite il suddetto modello predittivo.
Miori V., Belli D., Bacco F. M., Baronti P., Barsocchi P., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Palumbo F., Pillitteri L., Potortì F., Russo D.
Il deliverable ha come obiettivo la definizione di un percorso intraprendibile per lo sviluppo di un modello predittivo, efficace ed efficiente, basato sul paradigma machine learning, sviluppato in funzione del dominio applicativo in esame e dei dati a disposizione. Una parte verrà dedicata all'introduzione degli aspetti principali legati alle strategie di individuazione di anomalie in serie temporali multi-variate tramite il suddetto modello predittivo.
2022
Other
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ChAALenge - D6.2: Progettazione architettura e definizione delle modalità di integrazione delle macrofunzionalità nel framework (intermedio)
Bacco F. M., Baronti P., Barsocchi P., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Miori V., Palumbo F., Pillitteri L., Potortì F., Russo D., Belli D.
Questo documento riporta l'analisi relativa alla progettazione del framework di integrazione delle funzionalità, come previsto dal progetto ChAALenge. In particolare, vengono in questa sede analizzate le tecnologie per lo sviluppo del middleware di comunicazione e le modalità di interfacciamento con le soluzioni sensoristiche individuate.
Bacco F. M., Baronti P., Barsocchi P., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Miori V., Palumbo F., Pillitteri L., Potortì F., Russo D., Belli D.
Questo documento riporta l'analisi relativa alla progettazione del framework di integrazione delle funzionalità, come previsto dal progetto ChAALenge. In particolare, vengono in questa sede analizzate le tecnologie per lo sviluppo del middleware di comunicazione e le modalità di interfacciamento con le soluzioni sensoristiche individuate.
2022
Other
Restricted
Progettazione architettura e definizione delle modalità di integrazione delle macro-funzionalità nel framework
Bacco F. M., Baronti P., Barsocchi P., Belli D., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Miori V., Palumbo F., Pillitteri L., Potortì F., Russo D.
In questo documento è riportata l’analisi svolta relativamente alla progettazione del framework d’integrazione per il progetto ChAALenge, delle funzionalità all’interno del progetto, in particolare le tecnologie analizzate per lo sviluppo del middleware di comunicazione e le modalità di interfacciamento con le soluzioni sensoristiche individuate.Project(s): ChAALenge
Bacco F. M., Baronti P., Barsocchi P., Belli D., Crivello A., Furfari F., Girolami M., La Rosa D., Mavilia F., Miori V., Palumbo F., Pillitteri L., Potortì F., Russo D.
In questo documento è riportata l’analisi svolta relativamente alla progettazione del framework d’integrazione per il progetto ChAALenge, delle funzionalità all’interno del progetto, in particolare le tecnologie analizzate per lo sviluppo del middleware di comunicazione e le modalità di interfacciamento con le soluzioni sensoristiche individuate.Project(s): ChAALenge