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Integrated Electromyogram And Eye-Gaze Tracking Cursor Control System For Computer Users With Motor Disabilities, Craig A. Chin, Armando Barreto, J. Gualberto Cremades, Malek Adjouadi
Integrated Electromyogram And Eye-Gaze Tracking Cursor Control System For Computer Users With Motor Disabilities, Craig A. Chin, Armando Barreto, J. Gualberto Cremades, Malek Adjouadi
Electrical and Computer Engineering Faculty Publications
This research pursued the conceptualization, implementation, and testing of a system that allows for computer cursor control without requiring hand movement. The target user group for this system are individuals who are unable to use their hands because of spinal dysfunction or other afflictions. The system inputs consisted of electromyogram (EMG) signals from muscles in the face and point-of-gaze coordinates produced by an eye-gaze tracking (EGT) system. Each input was processed by an algorithm that produced its own cursor update information. These algorithm outputs were fused to produce an effective and efficient cursor control. Experiments were conducted to compare the …
Adaptive Eye-Gaze Tracking Using Neural-Network-Based User Profiles To Assist People With Motor Disability, Anaelis Sesin, Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, Armando Barreto
Adaptive Eye-Gaze Tracking Using Neural-Network-Based User Profiles To Assist People With Motor Disability, Anaelis Sesin, Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, Armando Barreto
Electrical and Computer Engineering Faculty Publications
This study developed an adaptive real-time humancomputer interface (HCI) that serves as an assistive technology tool for people with severe motor disability. The proposed HCI design uses eye gaze as the primary computer input device. Controlling the mouse cursor with raw eye coordinates results in sporadic motion of the pointer because of the saccadic nature of the eye. Even though eye movements are subtle and completely imperceptible under normal circumstances, they considerably affect the accuracy of an eye-gaze-based HCI. The proposed HCI system is novel because it adapts to each specific user’s different and potentially changing jitter characteristics through the …