Intuitive muscle-gesture based robot navigation control using wearable gesture armband

In this paper, we propose a muscle gesture-computer interface (MGCI) system for robot navigation control employing a commercial wearable MYO gesture control armband, the motion and gesture control device from Thalmic Labs. This system allows the user to control a three-wheeled omni-directional robot...

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Bibliographic Details
Published in2015 International Conference on Machine Learning and Cybernetics (ICMLC) Vol. 1; pp. 389 - 395
Main Authors Guan-Chun Luh, Heng-An Lin, Yi-Hsiang Ma, Chien Jung Yen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2015
Subjects
inertial measurement unit
Muscle gesture-computer interface
omni-directional robot
surface electromyographic sensor
wearable MYO gesture control armband
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DOI10.1109/ICMLC.2015.7340953

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Summary:In this paper, we propose a muscle gesture-computer interface (MGCI) system for robot navigation control employing a commercial wearable MYO gesture control armband, the motion and gesture control device from Thalmic Labs. This system allows the user to control a three-wheeled omni-directional robot remotely by his/her intuitive motion. Two approaches were proposed with surface electromyographic (sEMG) sensors and combination of sEMG and inertial measurement unit (EMU). Computer simulations and experiments were conducted to evaluate the feasibility of the proposed system.
DOI:10.1109/ICMLC.2015.7340953