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http://dx.doi.org/10.5391/JKIIS.2016.26.3.176

Autonomous Mobile Robot Control using the Wearable Devices Based on EMG Signal for detecting fire  

Kim, Jin-Woo (School of Electrical and Electronics Engineering, Chung-Ang University)
Lee, Woo-Young (School of Electrical and Electronics Engineering, Chung-Ang University)
Yu, Je-Hun (School of Electrical and Electronics Engineering, Chung-Ang University)
Sim, Kwee-Bo (School of Electrical and Electronics Engineering, Chung-Ang University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.26, no.3, 2016 , pp. 176-181 More about this Journal
Abstract
In this paper, the autonomous mobile robot control system for detecting fire was proposed using the wearable device based on EMG(Electromyogram) signal. Myo armband is used for detecting the user's EMG signal. The gesture was classified after sending the data of EMG signal to a computer using Bluetooth communication. Then the robot named 'uBrain' was implemented to move by received data from Bluetooth communication in our experiment. 'Move front', 'Turn right', 'Turn left', and 'Stop' are controllable commands for the robot. And if the robot cannot receive the Bluetooth signal from a user or if a user wants to change manual mode to autonomous mode, the robot was implemented to be in the autonomous mode. The robot flashes the LED when IR sensor detects the fire during moving.
Keywords
Human-Robot Interaction; Electromyograph; Fire detceting; Gesture recognition;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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