@inproceedings{c963714321f94c8b82353dd5b6d70850,
title = "Capacitive sensing based knee-angle continuous estimation by BP neural networks",
abstract = "In this paper, we propose a capacitive sensing based method for knee joint angle continuous estimation. The motion capture system is used to record the position information of knee joint and output knee joint angel as a fitting target. Two capacitance rings are fixed on the thigh and shank to record the relaxation and contraction of muscles. Three healthy subjects participate in the study. Based on BP (back propagation) neural networks, the map relationships (i.e. model) between capacitance signals and knee joint angles are built. In the continuous estimation of angle, capacitance signals are fed into the model, and then we can get the estimated angles. The error (root mean square) and the cross-correlation coefficient are 4.4◦ and 97.01\% between the estimated knee joint angles (based on capacitance signals) and actual keen knee-angle. The results show that capacitive sensing method is effective and feasible to estimate the joint angles.",
keywords = "BP neural networks, Capacitive sensing, Continuous estimation, Knee joint angle",
author = "Dongfang Xu and Qining Wang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 ; Conference date: 08-08-2019 Through 11-08-2019",
year = "2019",
doi = "10.1007/978-3-030-27526-6\_6",
language = "英语",
isbn = "9783030275259",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "64--72",
editor = "Haibin Yu and Jinguo Liu and Lianqing Liu and Yuwang Liu and Zhaojie Ju and Dalin Zhou",
booktitle = "Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings",
address = "德国",
}