TY - GEN
T1 - Theory and Method of Non-contact Electrostatic Gait Detection Based on Human Body Electrostatic Field
AU - Qin, Sichao
AU - Li, Weiling
AU - Qiao, Yu
AU - Bai, Jie
AU - Yan, Jiaao
AU - Han, Ruoyu
AU - Li, Pengfei
AU - Chen, Xi
N1 - Publisher Copyright:
© Beijing Paike Culture Commu. Co., Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Gait analysis is an important means for diagnosing related diseases, guiding rehabilitation, and assessing mobility. Compared with existing methods, the non-contact electrostatic induction detection method for obtaining gait signals has the advantages of being non-wearable, low-cost, and capable of directly obtaining full-cycle gait signals for a long time. This paper proposes a theory and method of non-contact electrostatic gait detection based on the human body’s electrostatic field. The change law of the equivalent capacitance of the human foot to the ground was analyzed and the kinematic equations of the human foot during movement was established. Based on this, a non-contact electrostatic gait signal detection model based on the human body’s electrostatic field was established. Both the simulation curve of the theoretical model and the measured electrostatic gait signal can reflect the gait information of the foot movement, especially initial contact (IC), toe-off (TO), and swing phase, and have high consistency. This research provides a new theoretical basis and feasible technical approach for gait measurement and analysis.
AB - Gait analysis is an important means for diagnosing related diseases, guiding rehabilitation, and assessing mobility. Compared with existing methods, the non-contact electrostatic induction detection method for obtaining gait signals has the advantages of being non-wearable, low-cost, and capable of directly obtaining full-cycle gait signals for a long time. This paper proposes a theory and method of non-contact electrostatic gait detection based on the human body’s electrostatic field. The change law of the equivalent capacitance of the human foot to the ground was analyzed and the kinematic equations of the human foot during movement was established. Based on this, a non-contact electrostatic gait signal detection model based on the human body’s electrostatic field was established. Both the simulation curve of the theoretical model and the measured electrostatic gait signal can reflect the gait information of the foot movement, especially initial contact (IC), toe-off (TO), and swing phase, and have high consistency. This research provides a new theoretical basis and feasible technical approach for gait measurement and analysis.
KW - Electrostatic Gait
KW - Equivalent Plantar Capacitance
KW - Gait Analysis
KW - Non-Contact Detection
UR - http://www.scopus.com/inward/record.url?scp=85188840669&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-0877-2_7
DO - 10.1007/978-981-97-0877-2_7
M3 - Conference contribution
AN - SCOPUS:85188840669
SN - 9789819708765
T3 - Lecture Notes in Electrical Engineering
SP - 58
EP - 65
BT - The Proceedings of 2023 International Conference on Wireless Power Transfer, ICWPT 2023 - Volume II
A2 - Cai, Chunwei
A2 - Chai, Wenping
A2 - Wu, Shuai
A2 - Qu, Xiaohui
A2 - Mai, Ruikun
A2 - Zhang, Pengcheng
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Wireless Power Transfer, ICWPT 2023
Y2 - 13 October 2023 through 15 October 2023
ER -
