Improving Optical Myography via Convolutional Neural Networks

@inproceedings{Nissler2017ImprovingOM,
  title={Improving Optical Myography via Convolutional Neural Networks},
  author={Christian Nissler and Imran Badshah and Claudio Castellini and Wadim Kehl and Nassir Navab},
  year={2017}
}
In order to improve the accuracy and reliability of myocontrol (control of prosthetic devices using signals gathered from the human body), novel kinds of sensors able to detect muscular activity are being explored. In particular, Optical Myography (OMG) consists of optically tracking and decoding the deformations happening at the surface of the body whenever muscles are activated. OMG potentially requires no devices to be worn, but since it is an advanced problem of computer vision, it incurs a… 
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