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

研究成果: Conference contribution

9 引文 (Scopus)

摘要

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.

原文English
主出版物標題ICOT 2013 - 1st International Conference on Orange Technologies
頁面328-331
頁數4
DOIs
出版狀態Published - 2013 七月 12
事件1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan
持續時間: 2013 三月 122013 三月 16

出版系列

名字ICOT 2013 - 1st International Conference on Orange Technologies

Other

Other1st International Conference on Orange Technologies, ICOT 2013
國家Taiwan
城市Tainan
期間13-03-1213-03-16

指紋

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

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此文

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. 於 ICOT 2013 - 1st International Conference on Orange Technologies (頁 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. 頁 328-331 (ICOT 2013 - 1st International Conference on Orange Technologies).
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title = "A wearable inertial-sensing-based body sensor network for shoulder range of motion assessment",
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. 於 ICOT 2013 - 1st International Conference on Orange Technologies., 6521225, ICOT 2013 - 1st International Conference on Orange Technologies, 頁 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).

研究成果: Conference contribution

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AU - Hsu, Yu Liang

AU - Wang, Jeen-Shing

AU - Lin, Yu-Ching

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AU - Tsai, Yi-Ju

AU - Chu, Cheng Ling

AU - Chang, Che Wei

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N2 - 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.

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