Research Article
Personalized Multimodal Computer Interfaces For The Motor Impaired
@INPROCEEDINGS{10.4108/eai.16-5-2016.2263801, author={Matthew Erhart and Angie Nguyen and Ruchika Shivaswamy and Brian Anderson and Emmenegger Colleen and Nadir Weibel}, title={Personalized Multimodal Computer Interfaces For The Motor Impaired}, proceedings={10th EAI International Conference on Pervasive Computing Technologies for Healthcare}, publisher={ACM}, proceedings_a={PERVASIVEHEALTH}, year={2016}, month={6}, keywords={augmentative communication; eye tracking; amyotrophic lateral sclerosis; motor impairment; locked-in syndrome; brain computer interfaces;}, doi={10.4108/eai.16-5-2016.2263801} }- Matthew Erhart
Angie Nguyen
Ruchika Shivaswamy
Brian Anderson
Emmenegger Colleen
Nadir Weibel
Year: 2016
Personalized Multimodal Computer Interfaces For The Motor Impaired
PERVASIVEHEALTH
EAI
DOI: 10.4108/eai.16-5-2016.2263801
Abstract
Severe motor disorders such as LIS and ALS are characterized by an inability to move or communicate effectively. Though it is essential to provide assistance to these groups, motor and cognitive function within these groups varies so widely that one static design cannot serve the group as a whole. Despite this variety, eye movements and brain functions are often under conscious control and can potentially be exploited for communication. We believe that to provide the most effective communication systems for individuals with progressive neurological disorders, it will be essential to create adaptive eye and biosignal computer interfaces that dynamically fit the changing abilities of the user as inexpensively as possible.
Copyright © 2016–2024 EAI
