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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

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Published on: July 27, 2018

PATROL: Participatory Activity Tracking and Risk Assessment for Anonymous Elderly Monitoring.

Research Dawadi¹, Teruhiro Mizumoto², Yuki Matsuda¹

¹Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma 630-0192, Nara, Japan.

Sensors (Basel, Switzerland)

|September 23, 2022

Summary

This study introduces an anonymous elderly monitoring system using a smartphone app to detect risks in daily activities. The system effectively identifies potential health risks, improving safety for seniors living alone.

Keywords:

elderly monitoring gerontechnology mobile application successful aging

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Area of Science:

Gerontology
Health Informatics
Ubiquitous Computing

Background:

Increasing number of elderly individuals living alone due to medical and technological advancements.
Challenges with traditional elder care: crowded, expensive, and uncomfortable institutions, and costly, scarce personal caretakers.
Growing need for effective home monitoring technologies to ensure elderly safety and well-being.

Purpose of the Study:

To propose and evaluate an anonymous elderly monitoring system for tracking daily activities and identifying potential risks.
To develop an activity visualization and notification strategy for quick and easy risk identification.
To compare the proposed system's effectiveness against alternative methods in a user study.

Main Methods:

Development of an anonymous elderly monitoring system utilizing a smartphone application.
Implementation of an activity visualization and notification strategy for risk detection.
Evaluation through a user study comparing the proposed method with two other visualization/notification techniques on a real-life elderly activity dataset.

Main Results:

The proposed method achieved a 75.2% success rate in identifying risks, outperforming other methods (68.5% and 65.8%).
Average response time to notifications was 176.46 minutes, comparable to other methods.
The system demonstrated a lower interface analyzing and reporting time (28 seconds) compared to alternatives (38 and 54 seconds).

Conclusions:

The proposed anonymous elderly monitoring system effectively identifies risks in daily activities.
The visualization and notification strategy enhances the speed and accuracy of risk detection.
This technology offers a promising solution for supporting independent living and ensuring the safety of the elderly population.