DocumentCode :
3713804
Title :
Line tracking control of a mobile robot using EMG signals from human hand gestures
Author :
Yeong Jae Kim; Hyun Seon Lee; Seul Jung
Author_Institution :
Department of Mechatronics Engineering, Chungnam National University, Daejeon, 305-764, Korea
fYear :
2015
Firstpage :
354
Lastpage :
354
Abstract :
This video shows the line tracking control performance of a mobile robot commanded remotely through human hand gesture recognition using the biological signals. The biological signals are obtained by electromyography (EMG) sensors attached on the skin of a human arm. EMG signals of two channels are captured from the skin of a human arm according to four different human gesture motions. The EMG signals are filtered and classified into four commands of move forward, move back, turn right and turn left to control the mobile robot.
Keywords :
"Electromyography","Mobile robots","Biology","Robot sensing systems","Mechatronics"
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
Type :
conf
DOI :
10.1109/URAI.2015.7358976
Filename :
7358976
Link To Document :
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