Physiological Signal- Driven Camera Using EOG, EEG, and ECG

Yoshikazu Hirayama, Tomomi Takashina, Yuichi Watanabe, Kensaku Fukumoto, Miyuki Yanagi, Ryota Horie, Michiko Ohkura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Photography is closely related to the affection of individuals. Camera is one of the promising applications of affective computing. Emotion is essentially a personal characteristic, and it should be dealt with individually and not generically. Therefore, physiological signals are expected to be effective in the field of photography. Previous researches have shown that physiological signals are promising, but a huge amount of physiological data is needed to confirm its effectiveness in realistic situations. We constructed prototypes to investigate the usefulness of this concept in daily life without waiting for the accumulation of a huge amount of physiological data. In the prototypes, we employ three types of physiological signals, namely EOG (electrooculography), EEG (electroencephalogram), and ECG (electrocardiogram). We plan to use these prototypes to evaluate the usefulness and effectiveness of physiological signals in photograpny in the real world.

Original languageEnglish
Title of host publication2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-82
Number of pages2
ISBN (Electronic)9781728138916
DOIs
Publication statusPublished - 2019 Sep
Event8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 - Cambridge, United Kingdom
Duration: 2019 Sep 32019 Sep 6

Publication series

Name2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019

Conference

Conference8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
CountryUnited Kingdom
CityCambridge
Period19/9/319/9/6

Keywords

  • camera
  • ECG
  • EEG
  • EOG
  • photography
  • physiological signals

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Social Psychology
  • Behavioral Neuroscience

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  • Cite this

    Hirayama, Y., Takashina, T., Watanabe, Y., Fukumoto, K., Yanagi, M., Horie, R., & Ohkura, M. (2019). Physiological Signal- Driven Camera Using EOG, EEG, and ECG. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 (pp. 81-82). [8925063] (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACIIW.2019.8925063