TY - GEN
T1 - Physiological Signal- Driven Camera Using EOG, EEG, and ECG
AU - Hirayama, Yoshikazu
AU - Takashina, Tomomi
AU - Watanabe, Yuichi
AU - Fukumoto, Kensaku
AU - Yanagi, Miyuki
AU - Horie, Ryota
AU - Ohkura, Michiko
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - 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.
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.
KW - ECG
KW - EEG
KW - EOG
KW - camera
KW - photography
KW - physiological signals
UR - http://www.scopus.com/inward/record.url?scp=85077821764&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077821764&partnerID=8YFLogxK
U2 - 10.1109/ACIIW.2019.8925063
DO - 10.1109/ACIIW.2019.8925063
M3 - Conference contribution
AN - SCOPUS:85077821764
T3 - 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
SP - 81
EP - 82
BT - 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
Y2 - 3 September 2019 through 6 September 2019
ER -