Auricular Muscle- controlled Navigation for Powered Wheelchairs using EMG

Experimental data from participant study on controlling a wheelchair-like robot using the Auricular Muscle (AM) through Electromyography (EMG) sensors to navigate a maze. Experimental data includes question answers, number of instructions, time to complete maze, robot route, number of crashes, and p...

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Bibliographic Details

Main Authors:	Alex Nowak, James Fleming, Massimiliano Zecca
Format:	Default Text
Published:	2026
Subjects:	Engineering Biomedical engineering Control engineering, mechatronics and robotics Electronics, sensors and digital hardware Information and computing sciences Artificial intelligence Machine learning Software engineering Other information and computing sciences electromyographic signal recording auricular muscle Support vector machine(SVM) support vector machine (SVM)-based techniques classifier design and evaluation
Online Access:	https://dx.doi.org/10.17028/rd.lboro.31399233.v1
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