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, Yi-Ju Tsai, Cheng Ling Chu, Che Wei Chang

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

9 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 Jul 12
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
CountryTaiwan
CityTainan
Period13-03-1213-03-16

Fingerprint

Body sensor networks
Gyroscopes
Sensors
Angular velocity
Magnetometers
Microcontrollers
Accelerometers
Fusion reactions
Costs

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Hsu, Y. L., Wang, J-S., Lin, Y-C., Chen, S. M., Tsai, Y-J., Chu, C. L., & Chang, C. W. (2013). A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment. In ICOT 2013 - 1st International Conference on Orange Technologies (pp. 328-331). [6521225] (ICOT 2013 - 1st International Conference on Orange Technologies). https://doi.org/10.1109/ICOT.2013.6521225
Hsu, Yu Liang ; Wang, Jeen-Shing ; Lin, Yu-Ching ; Chen, Shu Min ; Tsai, Yi-Ju ; Chu, Cheng Ling ; Chang, Che Wei. / A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment. ICOT 2013 - 1st International Conference on Orange Technologies. 2013. pp. 328-331 (ICOT 2013 - 1st International Conference on Orange Technologies).
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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.",
author = "Hsu, {Yu Liang} and Jeen-Shing Wang and Yu-Ching Lin and Chen, {Shu Min} and Yi-Ju Tsai and Chu, {Cheng Ling} and Chang, {Che Wei}",
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Hsu, YL, Wang, J-S, Lin, Y-C, Chen, SM, Tsai, Y-J, Chu, CL & Chang, CW 2013, A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment. in ICOT 2013 - 1st International Conference on Orange Technologies., 6521225, ICOT 2013 - 1st International Conference on Orange Technologies, pp. 328-331, 1st International Conference on Orange Technologies, ICOT 2013, Tainan, Taiwan, 13-03-12. https://doi.org/10.1109/ICOT.2013.6521225

A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment. / Hsu, Yu Liang; Wang, Jeen-Shing; Lin, Yu-Ching; Chen, Shu Min; Tsai, Yi-Ju; Chu, Cheng Ling; Chang, Che Wei.

ICOT 2013 - 1st International Conference on Orange Technologies. 2013. p. 328-331 6521225 (ICOT 2013 - 1st International Conference on Orange Technologies).

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

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AB - 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.

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Hsu YL, Wang J-S, Lin Y-C, Chen SM, Tsai Y-J, Chu CL et al. A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment. In ICOT 2013 - 1st International Conference on Orange Technologies. 2013. p. 328-331. 6521225. (ICOT 2013 - 1st International Conference on Orange Technologies). https://doi.org/10.1109/ICOT.2013.6521225