Non-conventional Control and Implementation of an Electric Wheelchair Designed to Climb Up Stairs, Controlled via Electromyography and Supported by Artificial Neural Network Processing

Martín L. Guzmán, Juan P. Pinto, Luis F. Reina, Carlos Esquit. Non-conventional Control and Implementation of an Electric Wheelchair Designed to Climb Up Stairs, Controlled via Electromyography and Supported by Artificial Neural Network Processing. In Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Joaquín Salas Rodríguez, Gabriella Sanniti di Baja, editors, Pattern Recognition - 5th Mexican Conference, MCPR 2013, Querétaro, Mexico, June 26-29, 2013. Proceedings. Volume 7914 of Lecture Notes in Computer Science, pages 344-353, Springer, 2013. [doi]

@inproceedings{GuzmanPRE13,
  title = {Non-conventional Control and Implementation of an Electric Wheelchair Designed to Climb Up Stairs, Controlled via Electromyography and Supported by Artificial Neural Network Processing},
  author = {Martín L. Guzmán and Juan P. Pinto and Luis F. Reina and Carlos Esquit},
  year = {2013},
  doi = {10.1007/978-3-642-38989-4_35},
  url = {http://dx.doi.org/10.1007/978-3-642-38989-4_35},
  researchr = {https://researchr.org/publication/GuzmanPRE13},
  cites = {0},
  citedby = {0},
  pages = {344-353},
  booktitle = {Pattern Recognition - 5th Mexican Conference, MCPR 2013, Querétaro, Mexico, June 26-29, 2013. Proceedings},
  editor = {Jesús Ariel Carrasco-Ochoa and José Francisco Martínez Trinidad and Joaquín Salas Rodríguez and Gabriella Sanniti di Baja},
  volume = {7914},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-38988-7},
}