A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Human Body Model Acquisition and Tracking Using Voxel Data
International Journal of Computer Vision
3D Hand Reconstruction from a Monocular View
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A virtual-reality-based telerehabilitation system with force feedback
IEEE Transactions on Information Technology in Biomedicine
An X3D Approach to Neuro-Rehabilitation
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Wireless support to poststroke rehabilitation: myheart's neurological rehabilitation concept
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Characterization of a simmechanics model for a virtual glove rehabilitation system
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
Computer Methods and Programs in Biomedicine
Overall design and implementation of the virtual glove
Computers in Biology and Medicine
| Hi-index | 0.00 |
Hand rehabilitation, following stroke or hand surgery, is repetitive and long duration and can be facilitated with the assistance of complex, heavy and cumbersome haptic gloves based on sensors. The present paper describes a virtual glove, software based, which tracks hand movements by using images collected from webcams and numerical analysis. Finger forces are calculated from the deformations impressed to some objects (of known elastic coefficient) grasped by the patient hand. The presented system is notable for simplicity, generality and low cost. Implementation and results of the proposed virtual glove will be the objects of a future paper.