Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. BCI and Motion Capture Technologies for Rehabilitation based on Videogames
 
conference paper

BCI and Motion Capture Technologies for Rehabilitation based on Videogames

Muñoz, John E.
•
Chavarriaga, Ricardo  
•
Villada, Julián F.
Show more
2014
IEEE Global Humanitarian Technology Conference (GHTC 2014)
2014 IEEE Global Humantarian Technology Conference

We present a cost-effective rehabilitation system based on videogames and multimodal recordings of physiological signals. The system targets patients with sensory-motor impairments resulting from lesions of the central nervous system (e.g., due to stroke or traumatic injuries). It relies on a wireless low-cost hybrid interface combining a consumer-level electroencephalographic (EEG) device and the Kinect sensor to record the motion capture information. Thus providing quantitative physiological measures to support medical evaluations and improve the personalization of health service. Furthermore, through the design of specialized videogames for rehabilitation, we aim at increasing the patient’s motivation, potentially improving the service quality and the recovery process. The system is currently being used in a rehabilitation center in Colombia by patients with upper limb paralysis and balance disorders after stroke or traumatic injuries. Initial results show significant improvements in the mobility of affected joints, improved adherence to treatments by patients, and high acceptability by therapists and end-users.

  • Details
  • Metrics
Type
conference paper
DOI
10.1109/GHTC.2014.6970312
Author(s)
Muñoz, John E.
Chavarriaga, Ricardo  
Villada, Julián F.
Lopez, David S.
Date Issued

2014

Published in
IEEE Global Humanitarian Technology Conference (GHTC 2014)
Start page

396

End page

401

Subjects

Rehabilitation

•

Stroke

•

Brain Computer Interface

•

Kinect

•

Motion Capture

•

Videogames

•

Multimodal

Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
CNBI  
CNP  
Event nameEvent placeEvent date
2014 IEEE Global Humantarian Technology Conference

San José, USA

October 10-13, 2014

Available on Infoscience
July 4, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/104902
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés