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

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ81-82
ページ数2
ISBN(電子版)9781728138916
DOI
出版ステータスPublished - 2019 9
イベント8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 - Cambridge, United Kingdom
継続期間: 2019 9 32019 9 6

出版物シリーズ

名前2019 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
国/地域United Kingdom
CityCambridge
Period19/9/319/9/6

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用
  • 社会心理学
  • 行動神経科学

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