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2022 Conference article Open Access OPEN
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.Source: IPIN 2021 - International conference on Indoor Positioning and Indoor Navigation, Lloret de Mar, 29/11/2021-02/12/2021
DOI: 10.1109/ipin51156.2021.9662530

See at: ISTI Repository Open Access | ieeexplore.ieee.org Restricted | CNR ExploRA Restricted

2022 Journal article Open Access OPEN
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 (Basel) 10 (2022). doi:10.3390/technologies10020050
DOI: 10.3390/technologies10020050

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.mdpi.com Open Access

2022 Conference article Open Access OPEN
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.Source: ForItAAL 2020 - Italian Forum of Ambient Assisted Living, pp. 335–345, 01/12/2020
DOI: 10.1007/978-3-031-08838-4_23

See at: ISTI Repository Open Access | doi.org Restricted | link.springer.com Restricted | CNR ExploRA Restricted

2021 Journal article Open Access OPEN
Discovering location based services: a unified approach for heterogeneous indoor localization systems
Furfari F., Crivello A., Baronti P., Barsocchi P., Girolami M., Palumbo F., Quezada-Gaibor D., Mendoza Silva G. M., Torres-Sospedra J.
The technological solutions and communication capabilities offered by the Internet of Things paradigm, in terms of raising availability of wearable devices, the ubiquitous internet connection, and the presence on the market of service-oriented solutions, have allowed a wide proposal of Location Based Services (LBS). In a close future, we foresee that companies and service providers will have developed reliable solutions to address indoor positioning, as basis for useful location based services. These solutions will be different from each other and they will adopt different hardware and processing techniques. This paper describes the proposal of a unified approach for Indoor Localization Systems that enables the cooperation between heterogeneous solutions and their functional modules. To this end, we designed an integrated architecture that, abstracting its main components, allows a seamless interaction among them. Finally, we present a working prototype of such architecture, which is based on the popular Telegram application for Android, as an integration demonstrator. The integration of the three main phases -namely the discovery phase, the User Agent self-configuration, and the indoor map retrieval/rendering- demonstrates the feasibility of the proposed integrated architecture.Source: Internet of Things 13 (2021): 1–14. doi:10.1016/j.iot.2020.100334
DOI: 10.1016/j.iot.2020.100334
Project(s): A-WEAR via OpenAIRE

See at: Internet of Things Open Access | Recolector de Ciencia Abierta, RECOLECTA Open Access | CNR ExploRA Open Access | www.sciencedirect.com Open Access | ZENODO Open Access

2021 Journal article Open Access OPEN
Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition
Potortì F., Torres-Sospedra J., Quezada-Gaibor D., Jiménez A. R., Seco F., Pérez-Navarro A., Ortiz M., Zhu N., Renaudin V., Ichikari R., Shimomura R., Ohta N., Nagae S., Kurata T., Wei D., Ji X., Zhang W., Kram S., Stahlke M., Mutschler C., Crivello A., Barsocchi P., Girolami M., Palumbo F., Chen R., Wu Y., Li W., Yu Y., Xu S., Huang L., Liu T., Kuang J., Niu X., Yoshida T., Nagata Y., Fukushima Y., Fukatani N., Hayashida N., Asai Y., Urano K., Ge W., Lee N. T., Fang S. H., Jie Y. C., Young S. R., Chien Y. R., Yua C. C., Ma C., Wub B., Zhangc W., Wang Y., Fan Y., Poslad S., Selviah D. R., Wangd W., Yuan H., Yonamoto Y., Yamaguchi M., Kaichi T., Zhou B., Liue X., Gu Z., Yang C., Wu Z., Xie D., Huang C., Zheng L., Peng A., Jin G., Wangh Q., Luo H., Xiong H., Bao L., Zhangi P., Zhao F., Yuj C. A., Hung C. H., Antsfeld L., Chidlovskii B., Jiang H., Xia M., Yan D., Li Y., Dong Y., Silva I., Pendão C., Meneses F., Nicolau M. J., Costa A., Moreira A., De Cock C., Plets D., Opiela M., Dzama J., Zhang L., Li H., Chen B., Liu Y., Yean S., Lim B. Z., Teo W. J., Leep B. S., Oh H. L.
Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1m for the Smartphone Track and 0.5m for the Foot-mounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.Source: IEEE sensors journal (Online) (2021): 1–44. doi:10.1109/JSEN.2021.3083149
DOI: 10.1109/jsen.2021.3083149

See at: ieeexplore.ieee.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access

2021 Contribution to book Embargo
System interoperability for next gen services at home. A challenge/opportunity for integration
Candea C., Palumbo F., Girolami M., Segato D., Candea G. S.
Interoperability is complex non-functional requirement of any today' system, and it refers the exchanged information. Two systems must offer the possibility to exchange and use the data in order to be named "interoperable", meaning that the message sent must contain data (in a standard coded format) that can be interpreted by the system that will receive it. The next section describes the challenges encounter during the integration activities from the interoperability point of view for the next gen of systems that offer services at home.Source: Digital Health Technology for Better Aging. A multidisciplinary approach, edited by G. Andreoni, C. Mambretti, pp. 129–144, 2021
DOI: 10.1007/978-3-030-72663-8_8
Project(s): NESTORE via OpenAIRE

See at: link.springer.com Restricted | CNR ExploRA Restricted

2021 Contribution to book Embargo
Monitoring in the physical domain to support active ageing
Denna E., Civiello M., Porcelli S., Crivello A., Mavilia F., Palumbo F.
Monitoring system have been customized to collect data and to analyse several aspects of the users' life, the reason of this custom solution came from the needs to join physical activity of the user, life usage, social interaction and mind activities, all these features are not present in standard devices all together, so we arrived to a new system architecture where the monitoring system is the first front end versus the user. This chapter describes the general monitoring system architecture and provides insight into the contribution and role of sensors. Such sensing solutions are not only designed to match the needs and requirements of the user but also to reduce intrusiveness and usage complexity. By doing so the system is designed around the life of its users and maximizes the effectiveness of data collection. Example from NESTORE project are taken as reference.Source: Digital Health Technology for Better Aging. A multidisciplinary approach, edited by G. Andreoni, C. Mambretti, pp. 55–76, 2021
DOI: 10.1007/978-3-030-72663-8_4
Project(s): NESTORE via OpenAIRE

See at: link.springer.com Restricted | CNR ExploRA Restricted

2021 Conference article Open Access OPEN
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 C. E., Perego P., Andreoni G., Palumbo F., Mastropietro A., Khaled O. A., 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.Source: IEA 2021 - 21st Congress of the International Ergonomics Association, pp. 239–246, Online conference, 13-18/06/2021
DOI: 10.1007/978-3-030-74605-6_30
Project(s): NESTORE via OpenAIRE

See at: ISTI Repository Open Access | link.springer.com Restricted | CNR ExploRA Restricted

2021 Journal article Open Access OPEN
A multi-domain ontology on healthy ageing for the characterization of older adults status and behaviour
Mastropietro A., Palumbo F., Orte S., Girolami M., Furfari F., Baronti P., Candea C., Roecke C., Tarro L., Sykora M., Porcelli S., Rizzo G.
Ageing is a multi-factorial physiological process and the development of novel IoT systems, tools and devices, specifically targeted to older people, must be based on a holistic framework built on robust scientific knowledge in different health domains. Furthermore, interoperability must be guaranteed using standardized frameworks or approaches. These aspects still largely lack in the specific literature. The main aim of the paper is to develop a new ontology (the NESTORE ontology) to extend the available ontologies provided by universAAL-IoT (uAAL-IoT). The ontology is based on a multidomain healthy ageing holistic model, structuring well-assessed scientific knowledge, specifically targeted to healthy older adults aged between 65 and 75. The tool is intended to support, and standardize heterogeneous data about ageing in compliance with the uAAL-IoT framework. The NESTORE ontology covers all the relevant concepts to represent 3 significant domains of ageing: (1) Physiological Status and Physical Activity Behaviour; (2) Nutrition; and (3) Cognitive and Mental Status and Social Behaviour. In total, 12 sub-ontologies were modelled with more than 60 classes and sub-classes referenced among them by using more than 100 relations and around 20 enumerations. The proposed ontology increases the uAAL collection by 40%. NESTORE ontology provides innovation both in terms of semantic content and technological approach. The thorough use of this ontology can support the development of a decision support system, to promote healthy ageing, with the capacity to do dynamic multi-scale modelling of user-specific data based on the semantic annotations of users' profile.Source: Journal of ambient intelligence & humanized computing (Print) (2021). doi:10.1007/s12652-021-03627-6
DOI: 10.1007/s12652-021-03627-6
Project(s): NESTORE via OpenAIRE

See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access

2020 Journal article Closed Access
Remote detection of social interactions in indoor environments through bluetooth low energy beacons
Baronti P., Barsocchi P., Chessa S., Crivello A., Girolami M., Mavilia F., Palumbo F.
The way people interact in daily life is a challenging phenomenon to be captured and studied without altering the natural rhythm of the interactions. We investigate the development of automated tools that may provide information to the researchers that analyse interactions among humans. One important requirement of these tools is that should not interfere with the subjects under observation, in order to avoid any alteration in the subject's normal behaviour. Our approach is based on the detection of proximity among groups of people that is obtained using commercial wearable wireless tags based on Bluetooth Low Energy (BLE) and a novel algorithm called Remote Detection of Human Proximity (ReD-HuP) that analyses the wireless signal of tags and produce the proximity information. The algorithm, which has been validated against the ground truth of an experimental dataset, achieves an accuracy of 95.91% and an F-Score of 95.79%.Source: Journal of ambient intelligence and smart environments (Print) 12 (2020): 203–217. doi:10.3233/AIS-200560
DOI: 10.3233/ais-200560
Project(s): NESTORE via OpenAIRE

See at: content.iospress.com Restricted | Journal of Ambient Intelligence and Smart Environments Restricted | CNR ExploRA Restricted

2020 Master thesis Restricted
A survey on the use of 802.11 Channel State Information in device-free applications: indoor localization and human activity and gesture recognition
Uccheddu M. C.
It presents a survey on device-free applications using 802.11n Channel State Information (CSI). The survey analyzed device-free indoor localization works, human activity recognition works and gesture recognition works. For each work are described the system setting, the experimental environments and finally the evaluation. There is also the description of my personal implementation of a device-free indoor signal-based system setting, that was deployed at Consiglio Nazionale delle Ricerche (CNR) in Pisa.

See at: etd.adm.unipi.it Restricted | CNR ExploRA Restricted

2020 Journal article Open Access OPEN
"Hi This Is NESTORE, Your Personal Assistant": Design of an Integrated IoT System for a Personalized Coach for Healthy Aging
Palumbo F., Crivello A., Furfari F., Girolami M., Mastropietro A., Manferdelli G., Röcke C., Guye S., Salvá Casanovas A., Caon M., Carrino F., Khaled O. A., Mugellini E., Denna E., Mauri M., Ward D., Subías-Beltrán P., Orte S., Candea C., Candea G., Rizzo G.
In the context of the fourth revolution in healthcare technologies, leveraging monitoring and personalization across different domains becomes a key factor for providing useful services to maintain and promote well-being. This is even more crucial for older people, with aging being a complex multi-dimensional and multi-factorial process which can lead to frailty. The NESTORE project was recently funded by the EU Commission with the aim of supporting healthy older people to sustain their well-being and capacity to live independently. It is based on a multi-dimensional model of the healthy aging process that covers physical activity, nutrition, cognition, and social activity. NESTORE is based on the paradigm of the human-in-the-loop cyber-physical system that, exploiting the availability of Internet of Things technologies combined with analytics in the cloud, provides a virtual coaching system to support healthy aging. This work describes the design of the NESTORE methodology and its IoT architecture. We first model the end-user under several domains, then we present the NESTORE system that, analyzing relevant key-markers, provides coaching activities and personalized feedback to the user. Finally, we describe the validation strategy to assess the effectiveness of NESTORE as a coaching platform for healthy aging.Source: Frontiers in digital health (2020). doi:10.3389/fdgth.2020.545949
DOI: 10.3389/fdgth.2020.545949
Project(s): NESTORE via OpenAIRE

See at: Diposit Digital de Documents de la UAB Open Access | Frontiers in Digital Health Open Access | Frontiers in Digital Health Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | DOAJ-Articles Open Access | www.frontiersin.org Open Access | Frontiers in Digital Health Open Access | Zurich Open Repository and Archive Open Access

2020 Contribution to journal Open Access OPEN
Editorial of Sensors and Sensing Technologies for Indoor Positioning and Indoor Navigation
Potortì F., Palumbo F., Crivello A.
Source: Sensors (Basel) 20 (2020). doi:10.3390/s20205924
DOI: 10.3390/s20205924

See at: Sensors Open Access | Sensors Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Sensors Open Access | Sensors Open Access

2020 Contribution to journal Unknown
Sensors and sensing technologies for indoor positioning and indoor navigation
Potortì F., Palumbo F., Crivello A.
The last ten years have seen enormous technical progress in the field of indoor positioning and indoor navigation; yet, in contrast with outdoor well-established GNSS solutions, no technology exists that is cheap and accurate enough for the general market. The potential applications of indoor localization are all-encompassing, from home to wide public areas, from IoT and personal devices to surveillance and crowd behavior applications, and from casual use to mission-critical systems. This Special Issue encourages authors, from academia and industry, to submit new research results about innovations for indoor positioning and navigation. The Special Issue topics include but are not limited to: Location-based services and applications; Benchmarking, assessment, evaluation, standards; User requirements; UI, indoor maps, and 3D building models; Human motion monitoring and modeling; Robotics and UAV; Indoor navigation and tracking methods; Self-contained sensors; Wearable and multisensor systems; Privacy and security for ILS.Source: Basel: MDPI AG, 2020

See at: CNR ExploRA | www.mdpi.com

2020 Report Restricted
KI-FOOT - Risultati dei test in laboratorio ed in condizioni reali
Ortopedia Michelotti, Carlos Srl, Adatec Srl, Unipi, Palumbo F., La Rosa D., Cassarà P.
Il documento descrive i risultati dell'attività di test delle calzature sensorizzate durante l'utilizzo in condizioni reali. I test si sono svolti sia all'interno di uno studio di analisi medica podologica (con utenti che non presentavano delle difficoltà di deambulazione), sia lasciando il sistema in comodato d'uso ad un utente che ha potuto utilizzarlo per 10 gg durante le attività di vita quotidiana.Source: KI-FOOT, Deliverable D5.2, 2020

See at: CNR ExploRA Restricted

2020 Journal article Open Access OPEN
The IPIN 2019 indoor localisation competition - Description and results
Potortì F., Park S., Crivello A., Palumbo F., Girolami M., Barsocchi P., Lee S., Torres-Sospedra J., Jimenez A. R., Pérez-Navarro A., Mendoza-Silva G. M., Seco F., Ortiz M., Perul J., Renaudin V., Kang H., Hong Lee J., Park C. G., Ha J., Han J., Park C., Kim K., Lee Y., Gye S., Lee K., Kim E., Choi J., Choi Y. S., Talwar S., Cho S. Y., Ben-Moshe B., Scherbakov A., Antsfeld L., Sansano-Sansano E., Chidlovskii B., Kronenwett N., Prophet S., Landau Y., Marbel R., Zheng L., Peng A., Lin Z., Wu B., Ma C., Poslad S., Selviah D. R., Wu W., Ma Z., Zhang W., Wei D., Yuan H., Jiang J. B., Huang S. Y., Liu J. W., Su K. W., Leu J. S., Nishiguchi K., Bousselham W., Uchiyama H., Thomas D., Shimada A., Taniguchi R. I., Cortés V., Lungenstrass T., Ashraf I., Lee C., Usman Ali M., Im Y., Kim G., Eom J., Hur S., Park Y., Opiela M., Moreira A., João Nicolau M., Pendão C., Silva I., Meneses F., Costa A., Trogh J., Plets D., Chien Y. R., Chang T. Y., Fang S. H, Tsao Y.
IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m² outdoors and and 6000 m² indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.Source: IEEE access 8 (2020): 206674–206718. doi:10.1109/ACCESS.2020.3037221
DOI: 10.1109/access.2020.3037221
DOI: 10.5445/ir/1000130123

See at: Ghent University Academic Bibliography Open Access | IEEE Access Open Access | doi.org Open Access | Recolector de Ciencia Abierta, RECOLECTA Open Access | Universidade do Minho: RepositoriUM Open Access | ieeexplore.ieee.org Open Access | IEEE Access Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | KITopen Open Access | Hyper Article en Ligne Restricted

2020 Conference article Open Access OPEN
On the analysis of human posture for detecting social interactions with wearable devices
Baronti P., Girolami M., Mavilia F., Palumbo F., Luisetto G.
Detecting the dynamics of the social interaction represents a difficult task also with the adoption of sensing devices able to collect data with a high-Temporal resolution. Under this context, this work focuses on the effect of the body posture for the purpose of detecting a face-To-face interactions between individuals. To this purpose, we describe the NESTORE sensing kit that we used to collect a significant dataset that mimics some common postures of subjects while interacting. Our experimental results distinguish clearly those postures that negatively affect the quality of the signals used for detecting an interactions, from those postures that do not have such a negative impact. We also show the performance of the SID (Social Interaction Detector) algorithm with different settings, and we present its performance in terms of accuracy during the classification of interaction and non-interaction events.Source: ICHMS 2020 - IEEE International Conference on Human-Machine Systems, Online Conference, September 07-09, 2020
DOI: 10.1109/ichms49158.2020.9209510
Project(s): NESTORE via OpenAIRE

See at: ISTI Repository Open Access | doi.org Restricted | ieeexplore.ieee.org Restricted | CNR ExploRA Restricted | ZENODO Restricted

2020 Report Restricted
KI-FOOT - Report sui dispositivi sensoristici e analisi dei risultati dei test
Tognetti A., Carbonaro N., Palumbo F., La Rosa D., Barsocchi P., Furfari F., Potortì F., Cassarà P.
Lo scopo di questo documento è riportare la descrizione delle attività progettuali svolte al fine di identificare e validare le soluzioni sensoristiche da integrare nella calzatura. In particolare, tenendo in considerazione le specifiche fornite nel precedente documento D1.1, sono stati considerati due tipologie di sensori: 1) sensori piezoresistivi per la rilevazione della forza di contatto piede-suolo; 2) sensori inerziali per l'analisi dinamica dei movimenti effettuati dal piede durante la camminata. Di queste due categorie di sensori vengono mostrate le principali caratteristiche, il loro principio di funzionamento e i risultati dei test effettuati.Source: KI-FOOT, Deliverable D2.2, 2020

See at: CNR ExploRA Restricted

2020 Report Restricted
KI-FOOT - Integrazione del sistema nella calzatura
Carlos Srl, Adatec Srl, Palumbo F., La Rosa D., Cassarà P.
Il documento descrive l'integrazione finale del sistema di acquisizione dei dati nella calzatura e degli algoritmi di estrazione delle features con il database e l'interfaccia web di visualizzazione delle informazioni.Source: KI-FOOT, Deliverable D5.1, 2020

See at: CNR ExploRA Restricted

2019 Report Open Access OPEN
NESTORE - Definition of the indicators and metrics
Palumbo F., Crivello A., Mavilia F., Girolami M., Furfari F., Porcelli S., Manferdelli G., Mastropietro A., Rizzo G., Orte S., Subías P., Boquè N., Perego P., Mauri M., Röcke C., Guye S.
This report contains the description of the metrics and indicators used by the Decision Support System (DSS) for recommending and stimulating the user during the use of the NESTORE coaching system used to make healthier lifestyle choices. This document collects the outcomes of Task 4.1 - Algorithms for Short-term post-processing and extraction of indicators, whose objective is to extract knowledge from data streams generated by the NESTORE sensors and software applications. This kind of data is continuously mined to extract indicators about the NESTORE target domains identified in the WP2 activities, namely physiological, nutritional, cognitive and mental status and social behaviour of the user.Source: Project report, NESTORE, Deliverable D4.1, 2019
Project(s): NESTORE via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access