Short Stick Exercise Tracking System for Elderly Rehabilitation using IMU Sensor

Kazuki Oi, Yugo Nakamura, Yuki Matsuda, Manato Fujimoto, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stick exercises, which have been attracting attention for improving the health of the elderly, are usually performed in nursing homes under the guidance of nursing staff. However, in the current pandemic in which the elderly are advised to refrain from going out unnecessarily, it is desirable for each individual to be able to perform the stick exercises alone. In this study, we aim to develop a stick exercise support system that can automatically record the number of times an elderly person performs each type of stick exercise and provide feedback to improve the movement for each exercise. As a first step toward the realization of this stick exercise support system, we investigated a method for recognizing exercise movements using inertial measurement unit (IMU) sensors. In the evaluation experiment, 21 subjects performed 3 sets (10 times per set) of eight basic stick exercises. The exercise movements were classified based on the linear acceleration and quaternion data obtained from the IMU. As a result, 90% of F-measure was achieved when using Light GBM as the learning algorithm.

Original languageEnglish
Title of host publicationProceedings - 2nd International Workshop on Cyber-Physical-Human System Design and Implementation, CPHS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
ISBN (Electronic)9781665482035
DOIs
Publication statusPublished - 2022
Event2nd International Workshop on Cyber-Physical-Human System Design and Implementation, CPHS 2022 - Virtual, Online, Italy
Duration: May 3 2022 → …

Publication series

NameProceedings - 2nd International Workshop on Cyber-Physical-Human System Design and Implementation, CPHS 2022

Conference

Conference2nd International Workshop on Cyber-Physical-Human System Design and Implementation, CPHS 2022
Country/TerritoryItaly
CityVirtual, Online
Period5/3/22 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Hardware and Architecture
  • Human-Computer Interaction
  • Modelling and Simulation

Cite this