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Optimizing the interoperability between a video-oculagraphic and an electromyographic system

  • Javier Navallas
    ,
  • Mikel Ariz
    ,
  • Arantxa Villanueva
    ,
  • Javier San Agustin
    ,
  • Rafael Cabeza
  • Public University of Navarra
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 253 — 266

Journal (Volume, Issue Number)

Journal of Rehabilitation Research and Development (Volume 48, Issue 3)

Publication milestones

  • Published - 2012

Publication status

Published - 2012

ISSN

0748-7711

Abstract

A new system is presented that enhances the interoperability between a video-oculographic (VOG) system for mouse movement control and an electromyographic (EMG) system for mouse click detection. The proposed VOG-EMG system combines gaze and muscle information to minimize the number of undesired clicks due to involuntary activations and environmental noise. We tested the system with 24 subjects, comparing three different configurations: one in which the VOG and EMG systems worked independently and two in which we used VOG gaze information to improve the EMG click detection. Results show that the number of false-positive click detections can be reduced when VOG and EMG information is combined. In addition, the third configuration, including extra processing, can reduce the activation delay produced because of the combined use of the VOG and EMG systems. The new VOG-EMG system is meant to be used in noisy environments in which the number of false clicks may impeach a reliable human-computer interaction.