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

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

doi:10.1109/ACIIW.2019.8925063

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 proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	81-82
Number of pages	2
ISBN (Electronic)	9781728138916
DOIs	https://doi.org/10.1109/ACIIW.2019.8925063
Publication status	Published - 2019 Sept
Event	8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 - Cambridge, United Kingdom Duration: 2019 Sept 3 → 2019 Sept 6

Publication series

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

Conference

Conference	8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
Country/Territory	United Kingdom
City	Cambridge
Period	19/9/3 → 19/9/6

Keywords

ECG
EEG
EOG
camera
photography
physiological signals

ASJC Scopus subject areas

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

Access to Document

10.1109/ACIIW.2019.8925063

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). Article 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

Physiological Signal- Driven Camera Using EOG, EEG, and ECG. / Hirayama, Yoshikazu; Takashina, Tomomi; Watanabe, Yuichi et al.
2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 81-82 8925063 (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 8925063, 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019, Institute of Electrical and Electronics Engineers Inc., pp. 81-82, 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019, Cambridge, United Kingdom, 19/9/3. https://doi.org/10.1109/ACIIW.2019.8925063

Hirayama Y, Takashina T, Watanabe Y, Fukumoto K, Yanagi M, Horie R et al. 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. Institute of Electrical and Electronics Engineers Inc. 2019. p. 81-82. 8925063. (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019). doi: 10.1109/ACIIW.2019.8925063

Hirayama, Yoshikazu ; Takashina, Tomomi ; Watanabe, Yuichi et al. / Physiological Signal- Driven Camera Using EOG, EEG, and ECG. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 81-82 (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019).

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AU - Takashina, Tomomi

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AU - Yanagi, Miyuki

AU - Horie, Ryota

AU - Ohkura, Michiko

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

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