Adaptive reconstruction of human motion on wireless body sensor networks

Shih Yeh Chen, Wei Tsong Lee, Han Chieh Chao, Yueh-Min Huang, Chin-Feng Lai

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

6 Citations (Scopus)

Abstract

In wireless body sensor networks, sensors may be installed on various body limbs to wirelessly collect body information for homecare services. The orientations and accelerations on each limb are different for various motion states. For example, each limb has different acceleration when walking versus running, and orientation when standing versus lying. According to the above information, the body motion state may be decided. Furthermore, each person has unique body characteristics such as height, foot pitch, and motion habit to effect the body reconstruction. Therefore, it is a challenging issue how to present human motions through 3D skeleton system simulation, and achieve an adaptive reconstruction of human motion on wireless body sensor networks according to the different body characteristics of each person. In this study, we proposed a novel scheme to utilize multiple triple axis accelerometer and gyroscopes to measure limb accelerations, then calculated the locations of limbs and try to employ kinematic theory to reconstruct human body skeleton, called 3D Adaptive human Motion Reconstruction (AMR). And we applied Body Correction Algorithm (BCA) to correct human body characteristics and filtered the error of transmission noise. This system was tested and validated with success.

Original languageEnglish
Title of host publication2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011 - Nanjing, China
Duration: 2011 Nov 92011 Nov 11

Publication series

Name2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011

Other

Other2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011
CountryChina
CityNanjing
Period11-11-0911-11-11

Fingerprint

Body sensor networks
Wireless sensor networks
Gyroscopes
Accelerometers
Kinematics
Sensors

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

Cite this

Chen, S. Y., Lee, W. T., Chao, H. C., Huang, Y-M., & Lai, C-F. (2011). Adaptive reconstruction of human motion on wireless body sensor networks. In 2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011 [6096954] (2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011). https://doi.org/10.1109/WCSP.2011.6096954
Chen, Shih Yeh ; Lee, Wei Tsong ; Chao, Han Chieh ; Huang, Yueh-Min ; Lai, Chin-Feng. / Adaptive reconstruction of human motion on wireless body sensor networks. 2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011. 2011. (2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011).
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Chen, SY, Lee, WT, Chao, HC, Huang, Y-M & Lai, C-F 2011, Adaptive reconstruction of human motion on wireless body sensor networks. in 2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011., 6096954, 2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011, 2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011, Nanjing, China, 11-11-09. https://doi.org/10.1109/WCSP.2011.6096954

Adaptive reconstruction of human motion on wireless body sensor networks. / Chen, Shih Yeh; Lee, Wei Tsong; Chao, Han Chieh; Huang, Yueh-Min; Lai, Chin-Feng.

2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011. 2011. 6096954 (2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011).

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

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AB - In wireless body sensor networks, sensors may be installed on various body limbs to wirelessly collect body information for homecare services. The orientations and accelerations on each limb are different for various motion states. For example, each limb has different acceleration when walking versus running, and orientation when standing versus lying. According to the above information, the body motion state may be decided. Furthermore, each person has unique body characteristics such as height, foot pitch, and motion habit to effect the body reconstruction. Therefore, it is a challenging issue how to present human motions through 3D skeleton system simulation, and achieve an adaptive reconstruction of human motion on wireless body sensor networks according to the different body characteristics of each person. In this study, we proposed a novel scheme to utilize multiple triple axis accelerometer and gyroscopes to measure limb accelerations, then calculated the locations of limbs and try to employ kinematic theory to reconstruct human body skeleton, called 3D Adaptive human Motion Reconstruction (AMR). And we applied Body Correction Algorithm (BCA) to correct human body characteristics and filtered the error of transmission noise. This system was tested and validated with success.

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Chen SY, Lee WT, Chao HC, Huang Y-M, Lai C-F. Adaptive reconstruction of human motion on wireless body sensor networks. In 2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011. 2011. 6096954. (2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011). https://doi.org/10.1109/WCSP.2011.6096954