Estimation of Energy Absorption Capability of Arm Using Force Myography for Stable Human-Machine Interaction

被引:0
作者
Ramos, Andres [1 ]
Hashtrudi-Zaad, Keyvan [1 ]
机构
[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
来源
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20 | 2020年
基金
加拿大自然科学与工程研究理事会;
关键词
Arm impedance; control systems; excess of passivity; human-robot interaction; rehabilitation robotics; robot control; stability; upper-limb; variability; ROBOT INTERACTION; REHABILITATION;
D O I
10.1109/embc44109.2020.9175410
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Human-robot interactions help in various industries and enhance the user experience in different ways. However, constant safety monitoring is needed in environments where human users are at risk, such as rehabilitation therapy, space exploration, or mining. One way to improve safety and performance in robotic tasks is to include biological information of the user in the control system. This can help regulate the energy that is delivered to the user. In this work, we estimate the energy absorbing capabilities of the human arm, using the metric Excess of Passivity (EOP). EOP data from healthy subjects were obtained based on Forcemyography of the subjects' arm, to expand the sources of biological information and improve estimations.
引用
收藏
页码:4758 / 4761
页数:4
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