Using Dual-Accelerometers for Gait Analysis and Sporting Rehabilitation System Design

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details

Abstract

“Rehabilitation at home” is one of the most important issues for rehabilitation-related medical treatment. Current approaches request patients to perform rehabilitation in the hospital under the guiding of the professional physicians. When the patients return home, they usually cannot copy the environment as same as the hospital or buy the same equipment to rehabilitate by themselves. However, some rehabilitation motions should be performed frequently by patients at home. Therefore, designing a home-based rehabilitation monitoring system such that a patient can exercise more safely or finish the rehabilitation schedule correctly would be a very interesting and significant research topic. This is a two-year project which aims to apply the gait detection and video tracking techniques to develop such a system. In this system, we will design a wearable smart belt, which is composed of dual accelerometers and a micro-controller, to measure the temporal and spatial gait parameters, like acceleration or velocity, from a subject’s left and right hip joints. Also, we will develop a video tracking technique which uses a camera to recognize the movements and catch the features when a subject performs the rehabilitation motions. Particularly, we will build up a rehabilitation information platform to support more realizable applications, such as user data uploading, long-term data storage and analysis, and 3D gait reconstruction. A user can use this system to perform self-rehabilitation at home, under the monitoring of the camera and the smart belt. Physicians can use this system to evaluate the performance of a patient’s rehabilitation process or modify the rehabilitation plan on-line. By realizing this project, we expect that all members joining this project can learn more knowledge and experiences on designing more innovative home-care health management systems.

Project IDs

Project ID:PB10207-1917
External Project ID:NSC102-2221-E182-027
StatusFinished
Effective start/end date01/08/1331/07/14

Keywords

  • Rehabilitation at home
  • gait detection
  • video tracking
  • 3D accelerometer
  • pattern recognition

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.