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Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
08:31

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Published on: July 31, 2016

Emotional faces boost up steady-state visual responses for brain-computer interface.

Hovagim Bakardjian1, Toshihisa Tanaka, Andrzej Cichocki

  • 1Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Wako-shi, Saitama, Japan. hova@brain.riken.jp

Neuroreport
|December 24, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an affective steady-state visual evoked potentials (SSVEPs) paradigm using emotional faces to enhance brain-computer interfaces (BCI). This novel approach significantly boosts information transfer rates and reduces user fatigue.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Steady-state visual evoked potentials (SSVEPs) offer high information transfer rates for brain-computer interfaces (BCI).
  • Existing SSVEP paradigms lack emotional engagement, potentially limiting user experience and performance.
  • Novel methods are needed to enhance SSVEP-based BCI efficiency and user reliability.

Purpose of the Study:

  • To investigate a novel affective SSVEP paradigm using flickering emotional human faces.
  • To evaluate the performance of this affective paradigm in an 8-command BCI system controlling a robotic arm.
  • To assess the impact of affective stimuli on information transfer rates, user fatigue, attention, and reliability.

Main Methods:

  • Development of an affective SSVEP paradigm utilizing flickering video clips of emotional human faces.
  • Estimation of single-trial affective SSVEP responses using novel phase-locking value variability and wavelet energy variability measures.
  • Implementation and evaluation of an 8-command BCI system controlling a robotic arm in near real-time.

Main Results:

  • Affective SSVEP responses were significantly enhanced compared to blurred faces and standard checkerboards.
  • The affective face-flicker paradigm boosted information transfer rates in a multicommand BCI from 50 to 64 bits/min.
  • User fatigue was reduced, while visual attention and reliability were enhanced.

Conclusions:

  • The novel affective SSVEP paradigm shows significant potential for enhancing BCI performance.
  • Optimal affective SSVEP responses were observed in the 5-12 Hz flicker frequency range, particularly at 10 Hz.
  • Findings suggest new avenues for affective BCI and improved steady-state clinical probes.