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Home-Based Monitor for Gait and Activity Analysis
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Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
Yusuke Miyazaki1, Kohei Shoda1,2, Koji Kitamura2
1Department of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8550, Japan.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
This study introduces a system using RGB-D cameras to monitor daily stair movements and handrail use for early frailty detection in the elderly. Older adults showed slower stair ascent/descent and increased handrail use, indicating potential physical decline.
Area of Science:
- Gerontology
- Biomedical Engineering
- Computer Vision
Background:
- The growing elderly population worldwide necessitates effective methods for early frailty detection.
- Analyzing daily behavioral patterns offers a promising avenue for non-intrusive health monitoring.
Purpose of the Study:
- To develop and evaluate a system for continuous, automatic measurement of stair ascent/descent and handrail use in homes.
- To assess the system's capability in distinguishing physical function changes associated with aging.
Main Methods:
- An RGB-D camera-based system was implemented to capture 3D skeletal data of participants during stair navigation.
- Data on stair ascent/descent speed, handrail grasping points, and usage frequency were collected and analyzed.
- A decision tree algorithm was employed to analyze the collected behavioral data.
Main Results:
- Participants in their 70s demonstrated significantly slower stair ascent and descent speeds compared to younger groups.
- Individuals in their 50s and 70s exhibited increased handrail usage area and frequency.
- The system successfully differentiated physical behavior patterns potentially indicative of age-related functional decline.
Conclusions:
- The developed system can accurately and continuously monitor daily stair-related activities.
- The analysis of stair motion and handrail use provides valuable insights into age-related physical function changes.
- This technology holds potential for early detection of frailty and proactive health management in the geriatric population.

