Design and development of a real-time electromyography-based framework for telemanipulation of robotic arm-hand systems

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In recent years, the number of robotic devices used in service and clinical applications has drastically increased. As a result, there is a need for new human machine interfaces that will allow the users to operate such devices in a more intuitive manner. Traditional interfaces like joysticks and mechanical buttons have been widely used, but they offer limited functionality. An alternative is to control such devices using Electromyography (EMG) based interfaces that offer an intuitive operation (Artemiadis, 2012) (Dwivedi, 2021). EMG-based systems can also allow for hand-free interaction with robotic devices or computer applications. In this work, we propose development of data acquisition framework for real-time processing of EMG signals for the control of a robot arm-hand system.

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M.Sc. Daniel Andreas

Wissenschaftlicher Mitarbeiter

Department Elektrotechnik-Elektronik-Informationstechnik (EEI)
Lehrstuhl für Autonome Systeme und Mechatronik

Dr. Anany Dwivedi

Wissenschaftlicher Mitarbeiter

Department of Electrical-Electronic-Communication Engineering
Chair of Autonomous Systems and Mechatronics