Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models

Otago Exercise Program (OEP) is a rehabilitation program for older adults to improve frailty, sarcopenia, and balance. Accurate monitoring of patient involvement in OEP is challenging, as self-reports (diaries) are often unreliable. With the development of wearable sensors, Human Activity Recognition (HAR) systems using wearable sensors have revolutionized healthcare. However, their usage for OEP still shows limited performance. The objective of this study is to build an unobtrusive and accurate system to monitor OEP for older adults. Data was collected …

balance cs.lg development exercise hierarchical human machine machine learning machine learning models monitoring patient recognition reports sensors systems wearable wearable sensors