Development of IMU-based angle measurement system for finger rehabilitation

Hsien Ting Tim Chang, Li Wei Alex Cheng, Jen Yuan James Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

With rapid growing of medical demands, especially rehabilitation, for aging society and disabled population, devices such as prosthetics and exoskeletons are required not only to over assistant but to provide more detailed bioinformatics to help patients regain mobility and ability. Traditionally, measurement of posture of human body such as finger motions, is not simple and not compact. As such, the aim of this paper is devoted to development and validation of math model and algorithm to process data collected by multi-axis inertial measurement unit (IMU) for measuring human finger posture. It is showed that with the proposed method, accumulated error can be greatly reduced which exclude recursive calibrations and sensor fusion of IMU systems for real-time rehabilitation.

Original languageEnglish
Title of host publicationM2VIP 2016 - Proceedings of 23rd International Conference on Mechatronics and Machine Vision in Practice
EditorsJohan Potgieter, Zhi-Sheng Zhang, Xing-Song Wang, Hong Yi, Peter Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027644
DOIs
StatePublished - 19 Jan 2017
Event23rd International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2016 - Nanjing, Jiangsu, China
Duration: 28 Nov 201630 Nov 2016

Publication series

NameM2VIP 2016 - Proceedings of 23rd International Conference on Mechatronics and Machine Vision in Practice

Conference

Conference23rd International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2016
Country/TerritoryChina
CityNanjing, Jiangsu
Period28/11/1630/11/16

Keywords

  • Angle Measurement
  • IMU
  • Rehabilitation

Fingerprint

Dive into the research topics of 'Development of IMU-based angle measurement system for finger rehabilitation'. Together they form a unique fingerprint.

Cite this