Computer vision-based classification of hand grip variations in neurorehabilitation

@article{Zariffa2011ComputerVC,
  title={Computer vision-based classification of hand grip variations in neurorehabilitation},
  author={Jose Zariffa and John D. Steeves},
  journal={2011 IEEE International Conference on Rehabilitation Robotics},
  year={2011},
  pages={1-4}
}
The complexity of hand function is such that most existing upper limb rehabilitation robotic devices use only simplified hand interfaces. This is in contrast to the importance of the hand in regaining function after neurological injury. Computer vision technology has been used to identify hand posture in the field of Human Computer Interaction, but this approach has not been translated to the rehabilitation context. We describe a computer vision-based classifier that can be used to discriminate… CONTINUE READING