@inproceedings{108788c52b7944428fc7cb1618bf9563,
title = "Development of IMU-based angle measurement system for finger rehabilitation",
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.",
keywords = "Angle Measurement, IMU, Rehabilitation",
author = "Chang, {Hsien Ting Tim} and Cheng, {Li Wei Alex} and Chang, {Jen Yuan James}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2016 ; Conference date: 28-11-2016 Through 30-11-2016",
year = "2017",
month = jan,
day = "19",
doi = "10.1109/M2VIP.2016.7827295",
language = "???core.languages.en_GB???",
series = "M2VIP 2016 - Proceedings of 23rd International Conference on Mechatronics and Machine Vision in Practice",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Johan Potgieter and Zhi-Sheng Zhang and Xing-Song Wang and Hong Yi and Peter Xu",
booktitle = "M2VIP 2016 - Proceedings of 23rd International Conference on Mechatronics and Machine Vision in Practice",
}