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

Guan-Chun Luh, Heng‐An Lin, Yi-Hsiang Ma, Chien Jung Yen

Year
2015
Citations
27

Abstract

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.

Keywords

GestureComputer scienceGesture recognitionWearable computerRobotComputer visionInterface (matter)Artificial intelligenceMotion (physics)Motion control

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