A cap as interface for wheelchair control

Abstract

Many disabled people do not have the dexterity nece s s a y to use a joystick or other hand interface for controlling a standard robotic wheelchair. I n many cases, some of them suffer from diseases which can damage a majority of the nervous and muscular syst e m in the body, but leave the brain and eye movement unimpaired. To this end, we developed an interface which enables a person to guide a robotic wheelchair by eye-gaze, using a minimal number of electrodes attached o n the head of the user. The device can measure the electrooculogmphic potential (EOG) of the eyegaze movement together with the electromyographic signals (EMG) from the jaw muscle motion. B y coupling these simple actions, one is able to navigate a wheelchair solely by the eyes and the jaw, which provides a n aid to mobility for severely disable people.

Empirical mean curve decomposition with multiwavelet transformation for eye movements recognition using electrooculogram signals

“…Mostly, EEG and EMG systems have been investigated in various research topics to process and control computers and machines such as a wheelchair and robotic arm. [10][11][12] To decompose, the empirical mean curve decomposition (EMCD) model is adopted. 13 Electrooculography (EOG) is used to record eye position and movements furnished by the electrical potential difference between two electrodes positioned on the skin on either side of the eye.…”

Optimised multi‐wavelet domain for decomposed electrooculogram‐based eye movement classification

“…In addition, more wearable electronic sensor systems such as cardiopulmonary monitoring [6], electrooculography‐based (EOG) [7] system, limb position sensing, electromyographic (EMG) [8–10] systems are there to observe the human health, which is investigated by varied research teams. However, EMG systems are mostly investigated in different research topics and also processed to control the systems or computers with polysomnography and wheelchairs [11–13].…”

Introduction and preliminary evaluation of the Tongue Drive System: Wireless tongue-operated assistive technology for people with little or no upper-limb function

“…Electrooculographic potentials have also been used to detect eye movements [7][8]. An inherent drawback of these methods is that they interfere with the users' vision by requiring extra eye movements for eye control.…”