Kinect-based 3D Human Motion Acquisition and Evaluation System for Remote Rehabilitation and Exercise

Yu You, Tai Qi Wang, Keisuke Osawa, Megumi Shimodozono, Eiichiro Tanaka

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

2 Citations (Scopus)

Abstract

With the increasingly serious aging situation, more and more elderly people are physically disabled. In addition, the current rehabilitation resources have the problems of shortage and uneven distribution, coupled with the impact of COVID-19 in early 2019, most patients have been greatly restricted from going to the rehabilitation center for training. To solve these problems, we propose a "Kinect-based 3D Human Motion Acquisition and Evaluation System for Remote Rehabilitation and Exercise"which uses the Kinect3 camera to obtain human motion with an error rate of only 3% when the body is in front of the camera. Then we use Unity to create a humanoid virtual model and interactive scene and synchronize the real body motion to the virtual model with an average error less than 1%. At the same time, our system provides reliable and highly accurate methods for evaluating actions based on angles and trajectories. What's more, users don't need to wear any wearable devices when using the system. It is a mark-less motion acquisition system, which reduces the cost and improves the usability and scalability of the system. And the interactive virtual scenes also increase the training motivation of users.

Original languageEnglish
Title of host publication2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1213-1218
Number of pages6
ISBN (Electronic)9781665413084
DOIs
Publication statusPublished - 2022
Event2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022 - Sapporo, Japan
Duration: Jul 11 2022Jul 15 2022

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2022-July

Conference

Conference2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022
Country/TerritoryJapan
CitySapporo
Period7/11/227/15/22

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

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