Wearable affective lifelog system for understanding emotion dynamics in daily life = 일상생활에서 발생하는 감정의 역학 관계를 파악하는 웨어러블 정서 라이프로그 시스템 개발

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Past researches for recognizing human affect have made use of many ways using a variety of physiological sensors. However, despite their distinguished merits, how affective dynamics are influenced in the context of human daily life has not been explored yet. Hence, in this dissertation, I present a wearable affective life-log system(ALIS), robust as well as lightweight and easy-to-use in daily life. The proposed system records how a user feels in certain situations during long-term activities from physiological sensors. Based on the long-term monitoring, the system analyzes how contexts of the user’s life affect his/her emotion changes. Experimental results demonstrate that the proposed wearable life-log system enables people to understand how their everyday life is affected as the system provides information on their affective dynamics with its surroundings in real-world environment.
Advisors
Jo, Sunghoresearcher조성호researcher
Description
전산학부,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 전산학부, 2018.8,[v, 52 p. :]

Keywords

Affective computing▼aarousal▼acausality▼aconvolutional▼adeep learning▼adaily life▼aEEG▼aemotional lateralization▼aemotion recognition▼aphysiological signals▼aPPG▼alifelog▼aLSTM▼avalence; 감성 인식▼a감정 컴퓨팅▼a인공 지능▼a생체 신호▼a역학 관계▼a딥러닝▼a뇌파▼a심박

URI
http://hdl.handle.net/10203/265352
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=828230&flag=dissertation
Appears in Collection
CS-Theses_Ph.D.(박사논문)
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