IoT-Based Home Monitoring: Supporting Practitioners' Assessment by Behavioral Analysis
Mora N., Grossi F., Russo D., Barsocchi P., Hu R., Brunschwiler T., Michel B., Cocchi F., Montanari E., Nunziata S., Matrella G., Ciampolini P.
continuous monitoring behavioural analysis Article and Optics smart home Instrumentation anomaly detection Biochemistry IoT Atomic and Molecular Physics Electrical and Electronic Engineering Analytical Chemistry active assisted living (AAL)
This paper introduces technical solutions devised to support the Deployment Site - Regione Emilia Romagna (DS-RER) of the ACTIVAGE project. The ACTIVAGE project aims at promoting IoT (Internet of Things)-based solutions for Active and Healthy ageing. DS-RER focuses on improving continuity of care for older adults (65+) suffering from aftereffects of a stroke event. A Wireless Sensor Kit based on Wi-Fi connectivity was suitably engineered and realized to monitor behavioral aspects, possibly relevant to health and wellbeing assessment. This includes bed/rests patterns, toilet usage, room presence and many others. Besides hardware design and validation, cloud-based analytics services are introduced, suitable for automatic extraction of relevant information (trends and anomalies) from raw sensor data streams. The approach is general and applicable to a wider range of use cases; however, for readability's sake, two simple cases are analyzed, related to bed and toilet usage patterns. In particular, a regression framework is introduced, suitable for detecting trends (long and short-term) and labeling anomalies. A methodology for assessing multi-modal daily behavioral profiles is introduced, based on unsupervised clustering techniques. The proposed framework has been successfully deployed at several real-users' homes, allowing for its functional validation. Clinical effectiveness will be assessed instead through a Randomized Control Trial study, currently being carried out.
Source: Sensors (Basel) 19 (2019). doi:10.3390/s19143238
Publisher: Molecular Diversity Preservation International (MDPI),, Basel
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@article{oai:it.cnr:prodotti:405018,
title = {IoT-Based Home Monitoring: Supporting Practitioners' Assessment by Behavioral Analysis},
author = {Mora N. and Grossi F. and Russo D. and Barsocchi P. and Hu R. and Brunschwiler T. and Michel B. and Cocchi F. and Montanari E. and Nunziata S. and Matrella G. and Ciampolini P.},
publisher = {Molecular Diversity Preservation International (MDPI),, Basel },
doi = {10.3390/s19143238},
journal = {Sensors (Basel)},
volume = {19},
year = {2019}
}
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