sEMG-based decoding of detailed human intentions from finger-level hand motions

@article{Park2015sEMGbasedDO,
  title={sEMG-based decoding of detailed human intentions from finger-level hand motions},
  author={Myoung Soo Park and Sang-Rok Oh},
  journal={2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2015},
  pages={4271-4276}
}
In this paper, a novel sEMG decoder was proposed for estimating the detailed human intentions. For the use in practical applications, an sEMG decoder needs to have a high decoding performance, a robustness to the changes of electrode positions, and a capability to extract detailed and continuous intentions behind human motions. The new decoder satisfies all these needs by using a new supervised feature extractor, which was originally designed for discrete output values but modified to deal with… CONTINUE READING