Human Friendly Mechatronics 2001
DOI: 10.1016/b978-044450649-8/50016-4
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A Powered Wheelchair Controlled by EMG Signals from Neck Muscles

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Cited by 7 publications
(2 citation statements)
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“…Researchers have investigated using the neck and head to control a wheelchair due to their multiple degrees of freedom (DOF), which has the potential to realize dexterous control. For example, researchers have investigated using eye movement tracker [8], brain-machine interfaces (BCI) [9], head array [10], sip-and-puff control [11], tooth click [12], tongue control [13], [14], sniff control devices [15], voice command recognition system [16], and neck EMG signal control [17] as inputs for wheelchair control. All of the above solutions can enable hands-free control, and they are preferable in cases of severe mobility impairment (cervical injury level) of the user.…”
Section: A Neck and Head Based Approachmentioning
confidence: 99%
“…Researchers have investigated using the neck and head to control a wheelchair due to their multiple degrees of freedom (DOF), which has the potential to realize dexterous control. For example, researchers have investigated using eye movement tracker [8], brain-machine interfaces (BCI) [9], head array [10], sip-and-puff control [11], tooth click [12], tongue control [13], [14], sniff control devices [15], voice command recognition system [16], and neck EMG signal control [17] as inputs for wheelchair control. All of the above solutions can enable hands-free control, and they are preferable in cases of severe mobility impairment (cervical injury level) of the user.…”
Section: A Neck and Head Based Approachmentioning
confidence: 99%
“…The acquisition and process of EMG signals from voluntary activated muscles offers a communication path that, for either disabled or healthy people, can be used in many tasks and in different environments. Some of these tasks applied for disabled people are the control of a robotic prosthesis [ 35 – 37 ] or a wheelchair [ 38 40 ], as well as computer [ 41 43 ] or machine [ 44 46 ] interaction. The interfaces for games [ 47 49 ] and virtual reality [ 50 52 ] are environments where healthy people can communicate through EMG signals.…”
Section: Surface Emg and Eeg Signals Applied For Controlmentioning
confidence: 99%