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Niccolò Mora1, Ferdinando Grossi2, Dario Russo3

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Summary
This summary is machine-generated.

This study presents IoT solutions for active and healthy aging, focusing on stroke survivors. A wireless sensor kit and cloud analytics were developed to monitor daily behaviors, aiding in health assessments for older adults.

Keywords:
IoTactive assisted living (AAL)anomaly detectionbehavioural analysiscontinuous monitoringsmart home

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Computer Science

Background:

  • The ACTIVAGE project aims to enhance active and healthy aging through Internet of Things (IoT) solutions.
  • The Deployment Site - Regione Emilia Romagna (DS-RER) specifically targets improving care continuity for post-stroke older adults (65+).
  • Monitoring daily behavioral patterns is crucial for assessing the health and wellbeing of elderly individuals.

Purpose of the Study:

  • To introduce technical solutions supporting the DS-RER of the ACTIVAGE project.
  • To develop and validate an IoT-based Wireless Sensor Kit for monitoring older adults' behaviors.
  • To implement cloud-based analytics for extracting health-relevant information from sensor data.

Main Methods:

  • Engineering and validation of a Wi-Fi enabled Wireless Sensor Kit to capture behavioral data (e.g., bed/rest patterns, toilet usage).
  • Development of cloud-based analytics services for automatic trend and anomaly detection in sensor data streams.
  • Application of a regression framework for trend analysis and anomaly labeling, and unsupervised clustering for behavioral profiling.

Main Results:

  • Successful deployment and functional validation of the proposed framework in real-users' homes.
  • Demonstrated capability to monitor various behavioral aspects relevant to health and wellbeing.
  • Developed methods for analyzing trends and anomalies in daily activities and assessing multi-modal behavioral profiles.

Conclusions:

  • The presented technical solutions effectively support the monitoring of older adults' behaviors for active and healthy aging.
  • The developed IoT framework is validated for functional use in real-world settings.
  • Further clinical effectiveness will be evaluated through an ongoing Randomized Control Trial.