인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The emotion recognition is one of the most significant interface technologies which make the high level of
human-machine communication possible. The central nervous system stimulated by emotional stimuli affects
the autonomous nervous system like a heart, blood vessel, endocrine organs, and so on. Therefore bio-signals
like HRV, ECG and EEG can reflect one’s emotional state. This study investigates the correlation between
emotional states and bio-signals to realize the emotion recognition. This study also covers classification of
human emotional states, selection of the effective bio-signal and signal processing. The experimental results
presented in this paper show possibility of the emotion recognition.
human-machine communication possible. The central nervous system stimulated by emotional stimuli affects
the autonomous nervous system like a heart, blood vessel, endocrine organs, and so on. Therefore bio-signals
like HRV, ECG and EEG can reflect one’s emotional state. This study investigates the correlation between
emotional states and bio-signals to realize the emotion recognition. This study also covers classification of
human emotional states, selection of the effective bio-signal and signal processing. The experimental results
presented in this paper show possibility of the emotion recognition.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-ECN-0101-2009-550-014203681