HaWCoS: the "hands-free" wheelchair control system
Proceedings of the fifth international ACM conference on Assistive technologies
Shared user-computer control of a robotic wheelchair system
Shared user-computer control of a robotic wheelchair system
Robust Real-Time Face Detection
International Journal of Computer Vision
Eye tracking using neural network and mean-shift
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Automatic textile image annotation by predicting emotional concepts from visual features
Image and Vision Computing
Review: An overview of the Internet of Things for people with disabilities
Journal of Network and Computer Applications
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between the user and the wheelchair. To facilitate a wide variety of user abilities, the proposed system uses faceinclination and mouth-shape information as user's intention, where the direction of an IW is determined by the inclination of the user's face, while proceeding and stopping are determined by the shape of the user's mouth. This mechanism requires minimal motion, thereby making the system more comfortable and adaptable for the severely disabled. Furthermore, to fully guarantee user's safety, the 10 range-sensors are used to detect obstacles in environment and avoid them. To assess the effectiveness of the proposed IW, it was tested with 34 users and the results show that it can provide a user unable to drive a standard joystick with friendly and convenient system