A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment

Yu Liang Hsu, Jeen Shing Wang, Yu Ching Lin, Shu Min Chen, Yu Ju Tsai, Cheng Ling Chu, Che Wei Chang

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

18 Citations (Scopus)

Abstract

This paper presents a wearable inertial-sensing-based body sensor network (BSN) composed of two inertial modules that are placed on human upper limb for real-time human motion capture applications. Each inertial module consists of an ARM-based 32-bit microcontroller (MCU), a triaxial accelerometer, a triaxial gyroscope, and a triaxial magnetometer. To estimate shoulder range of motion (ROM), the accelerations, angular velocities, and magnetic signals are collected and processed by a quaternion-based complementary nonlinear filter for minimizing the cumulative errors caused by the intrinsic noise/drift of the inertial sensors. The proposed BSN is a cost-effective tool and can be used anywhere without any external reference device for shoulder ROM. The sensor fusion algorithm can reduce orientation error effectively and thus can assess shoulder joint motions accurately.

Original languageEnglish
Title of host publicationICOT 2013 - 1st International Conference on Orange Technologies
Pages328-331
Number of pages4
DOIs
Publication statusPublished - 2013
Event1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan
Duration: 2013 Mar 122013 Mar 16

Publication series

NameICOT 2013 - 1st International Conference on Orange Technologies

Other

Other1st International Conference on Orange Technologies, ICOT 2013
Country/TerritoryTaiwan
CityTainan
Period13-03-1213-03-16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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