Chapters authored
A Cooperative Game Using the P300 EEG-Based Brain-Computer Interface
In this paper, we present a cooperative game, Brainio Bros 300, using a brain-computer interface (BCI). The game is cooperatively controlled by two people using P300-generating color discrimination. The two users advance through the game together, one as the “player” and the other as the “supporter” providing assistance. We assumed that players would be able-bodied, while supporters would include people with severe disabilities. Through experiments using human subjects, we evaluated the subjects’ impressions of the game and its usefulness. The results of the impression evaluation showed that the subjects generally had good impressions, and there were many opinions that such cooperative games are interesting. We also discuss the possibilities of using the P300 BCI.
Part of the book: Assistive and Rehabilitation Engineering
Methods for Real-time Emotional Gait Data Collection Induced by Smart Glasses in a Non-straight Walking Path
Emotion recognition is an attractive research field because of its usefulness. Most methods for detecting and analyzing emotions depend on facial features so the close-up facial information is required. Unfortunately, high-resolution facial information is difficult to be captured from a standard security camera. Unlike facial features, gaits and postures can be obtained noninvasively from a distance. We proposed a method to collect emotional gait data with real-time emotion induction. Two gait datasets consisting of total 72 participants were collected. Each participant walked in circular pattern while watching emotion induction videos shown on Microsoft HoloLens 2 smart glasses. OptiTrack motion capturing system was used to capture the participants\' gaits and postures. Effectiveness of emotion induction was evaluated using self-reported emotion questionnaire. In our second dataset, additional information of each subject such as dominant hand, dominant foot, and dominant brain side was also collected. These data can be used for further analyses. To the best of our knowledge, emotion induction method shows the videos to subjects while walking has never been used in other studies. Our proposed method and dataset have the potential to advance the research field about emotional recognition and analysis, which can be used in real-world applications.
Part of the book: Intelligent Video Surveillance