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Eye motion tracking for wheelchair control

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TLDR
An application of eye tracking method to wheelchairs using the coherence algorithm, which tracks the movement of eye towards left or right, and the eye blinking feature is also used by the algorithm to control the starting and stopping of wheelchair.
Abstract
This paper proposes a new algorithm, the coherence algorithm, for eye movement tracking. Researchers continue to restore some functions lost by handicapped people using some powered electrical and robotic wheelchairs. This paper presents an application of eye tracking method to such wheelchairs. The coherence algorithm tracks the movement of eye towards left or right. The eye blinking feature is also used by the algorithm to control the starting and stopping of wheelchair.

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EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.

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Implicit Intention Communication in Human–Robot Interaction Through Visual Behavior Studies

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Head movements based control of an intelligent wheelchair in an indoor environment

TL;DR: A user-friendly human machine interface for hands-free control of an electric powered wheelchair (EPW) based on head movements that can be effectively used to replace the traditional joystick control for disabled and elderly people is presented.
Proceedings ArticleDOI

Smart wheelchair based on eye tracking

TL;DR: This project is a smart wheelchair based on eye tracking which is designed for people with locomotor disabilities and can be used with any electrical wheelchair.
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Autonomous camera based eye controlled wheelchair system using raspberry-pi

TL;DR: A novel technique is implemented for the eye controlled based independent and cost effective system that will allow the disabled person to control the wheelchair without the assistance from other persons.
References
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Journal ArticleDOI

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TL;DR: Smart wheelchairs have been the subject of research since the early 1980s and have been developed on four continents and presented a summary of the current state of the art and directions for future research.
Journal Article

Adequacy of power wheelchair control interfaces for persons with severe disabilities: a clinical survey.

TL;DR: Nearly half of patients unable to control a power wheelchair by conventional methods would benefit from an automated navigation system, according to the clinicians who treat them, which indicates a need for entirely new technologies for supervised autonomous navigation.

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TL;DR: This publication is a reference on work and disability in the U.S. population, created for use by both nontechnical and technical audiences.
Proceedings ArticleDOI

Non-Invasive, Wireless and Universal Interface for the Control of Peripheral Devices by Means of Head Movements

TL;DR: The interface is expected to be a communication alternative for many users with mobility impairments in upper-extremities, enabling interaction with most of external devices needed for developing a normal life activity, gaining autonomy and independence.
Proceedings ArticleDOI

Oral motion controlled intelligent wheelchair

TL;DR: The novel interface equipped intelligent wheelchair is described, using visual oral motion, which brings the user toward destination operated with oral motion and proposes mouth cavity region detection method.
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