Human-Robot Safety Guarantees Using Confidence-Aware-Game-Theoretic Human Models With EMG Signal

Author:

Gokulakrishnan R.1,Balakumar C.1ORCID

Affiliation:

1. Karpagam Academy of Higher Education, India

Abstract

This research provides a method for gesture recognition that integrates two separate recognizers. These two recognizers use the CAR equation to ascertain the hands sign. The robot's two main parts are its sending and receiving ends. Within the process of developing the same, three domains were specifically combined: biomedicine, which involved registering biosignals using analog channels composed of instrumental amplifiers; software development, involving microcontrollers, core processing (DSP), and the resulting control of the robot hand; PC software for tracking the registered biosignals; and mechatronics, involving the design and mechanical construction of the robot hand. The hand can control how much pressure is given to things because of the force sensor (FSR) in each finger. While developing a hand and wrist prototype that can rotate in response to EMG signal pulses, this was discovered.

Publisher

IGI Global

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