Invariant surface characteristics for 3D object recognition in range images
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Hands-free vision-based interface for computer accessibility
Journal of Network and Computer Applications
High dynamic range stereo vision for outdoor mobile robotics
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Robust real-time 3D head pose estimation from range data
Pattern Recognition
Journal of Network and Computer Applications
Review: An overview of the Internet of Things for people with disabilities
Journal of Network and Computer Applications
Human skeleton tracking from depth data using geodesic distances and optical flow
Image and Vision Computing
SVMT: A MATLAB toolbox for stereo-vision motion tracking of motor reactivity
Computer Methods and Programs in Biomedicine
Vision-based motion detection, analysis and recognition of epileptic seizures-A systematic review
Computer Methods and Programs in Biomedicine
A kinect-based vocational task prompting system for individuals with cognitive impairments
Personal and Ubiquitous Computing
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
Prescription software for recovery and rehabilitation using Microsoft Kinect
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Virtual reality system for multiple sclerosis rehabilitation using KINECT
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Development of virtual reality proprioceptive rehabilitation system for stroke patients
Computer Methods and Programs in Biomedicine
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In this paper, a 3D computer vision system for cognitive assessment and rehabilitation based on the Kinect device is presented. It is intended for individuals with body scheme dysfunctions and left-right confusion. The system processes depth information to overcome the shortcomings of a previously presented 2D vision system for the same application. It achieves left and right-hand tracking, and face and facial feature detection (eye, nose, and ears) detection. The system is easily implemented with a consumer-grade computer and an affordable Kinect device and is robust to drastic background and illumination changes. The system was tested and achieved a successful monitoring percentage of 96.28%. The automation of the human body parts motion monitoring, its analysis in relation to the psychomotor exercise indicated to the patient, and the storage of the result of the realization of a set of exercises free the rehabilitation experts of doing such demanding tasks. The vision-based system is potentially applicable to other tasks with minor changes.