/PhyCS2018_paper

An EMG-based gesture recognition

Primary LanguagePythonMIT LicenseMIT

Deep Learning in EMG-based Gesture Recognition

This is the code accompaniment for the following paper presented at PhyCS 2018:
P. Tsinganos et al., “Deep Learning in EMG-based Gesture Recognition” in Proceedings of the 5th International Conference on Physiological Computing Systems (PhyCS 2018), pp. 107-114, 19-21 September, Seville, Spain.

Dependencies

The following python packages are needed to run the code:

  • keras 2.1.6
  • tensorflow 1.5.0
  • sklearn 0.19.1
  • scipy 1.1.0
  • numpy 1.14.3

License

If this code helps your research, please cite the paper.

@inproceedings{PTsinganos_PhyCS2018,
 author = {Tsinganos, Panagiotis and Cornelis, Bruno and Cornelis, Jan and Jansen, Bart  and Skodras, Athanassios},
 title = {Deep Learning in EMG-based Gesture Recognition},
 booktitle = {Proceedings of the 5h International Conference on Physiological Computing Systems},
 year = {2018},
 doi = {10.5220/0006960201070114},
 isbn = {978-989-758-329-2},
 pages = {107--114},
 publisher = {SciTePress},
 location = {Seville, SP},
 keywords = {sEMG, Gesture Recognition, Deep Learning, CNN}
}