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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Daily activity recognition system for the elderly using pressure sensors.

Joon-Ho Lim1, Hyunchul Jang, Jaewon Jang

  • 1Lifeinformatics Team, Electronics and Telecommunication Research Institute, 161 Gajeong-Dong, Yuseon-Gu, Daejeon, 305-700, Korea. joonho.lim@etri.re.kr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary

This study introduces a daily activity recognition system for elderly individuals living alone, utilizing pressure sensors to monitor activities like meals and sleep. The system aims to enhance health assistance and provide peace of mind for remote families.

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Area of Science:

  • Gerontology
  • Ubiquitous Computing
  • Health Informatics

Background:

  • Rapidly aging global population leads to an increase in elderly individuals living alone.
  • This demographic faces heightened risks of functional disorders and geriatric diseases, necessitating advanced health assistance.
  • Existing health monitoring systems may lack the unobtrusive, continuous data collection required for comprehensive elder care.

Purpose of the Study:

  • To develop and evaluate a daily activity recognition system for elderly individuals living alone.
  • To leverage pressure sensor technology for unobtrusive monitoring of key daily activities.
  • To provide timely health alerts and enable remote family oversight of elderly well-being.

Main Methods:

  • Installation of pressure sensors on home furniture and floors to detect object usage.
  • Development of an algorithm to recognize specific daily activities: MEAL, SLEEP, EXCRETION, GO-OUT, and REST.
  • Utilizing object usage patterns derived from sensor data for activity classification.

Main Results:

  • The system successfully recognizes predefined daily activities based on pressure sensor data.
  • Demonstrated potential for identifying deviations from healthy routines, such as skipped meals.
  • Enabled remote monitoring capabilities for family members to assess the daily living patterns of elderly relatives.

Conclusions:

  • The proposed pressure sensor-based system offers a viable solution for monitoring the daily activities of elderly individuals living alone.
  • This technology can facilitate early detection of potential health issues and support independent living.
  • The system enhances communication and reassurance for families concerned about the well-being of their elderly loved ones.