Adaptive estimation of continuous gait phase based on capacitive sensors. (17th June 2022)

• Record Type: Journal Article
• Authors: Xu, Dongfang; Zhang, Zhitong; Crea, Simona; Vitiello, Nicola; Wang, Qining
• Is Part Of: Wearable technologies. Volume 3(2022)
• Publication Date: 2022-06-17
• Subjects: continuous gait phase -- capacitive sensors -- robotic transtibial prosthesis; Wearable technology -- Periodicals; Robotics in medicine -- Periodicals; 610.28
• DOI: 10.1017/wtc.2022.4
• Languages: English
• ISSNs: 2631-7176

Abstract

Abstract: Continuous gait phase plays an important role in robotic prosthesis control. In this paper, we have conducted the offline adaptive estimation (at different speeds and on different ramps) of continuous gait phase of robotic transtibial prosthesis based on the adaptive oscillators. We have used the capacitive sensing method to record the deformation of the muscles. Two transtibial amputees joined in this study. Based on the strain signals of the prosthetic foot and the capacitive signals of the residual limb, the maximum and minimum of estimation errors are 0.80 rad and 0.054 rad, respectively, and their corresponding ratios in one gait cycle are 1.27% and 0.86%, respectively. This paper proposes an effective method to estimate the continuous gait phase based on the capacitive signals of the residual muscles, which provides a basis for the continuous control of robotic transtibial prosthesis.