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학술지 Design of Prototype-Based Emotion Recognizer Using Physiological Signals
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저자
박병준, 장은혜, 정명애, 김상협
발행일
201310
출처
ETRI Journal, v.35 no.5, pp.869-879
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.13.0112.0751
협약과제
12SF1300, 시각 생체 모방 소자 및 인지 시스템 기술 개발, 정명애
초록
This study is related to the acquisition of physiological signals of human emotions and the recognition of human emotions using such physiological signals. To acquire physiological signals, seven emotions are evoked through stimuli. Regarding the induced emotions, the results of skin temperature, photoplethysmography, electrodermal activity, and an electrocardiogram are recorded and analyzed as physiological signals. The suitability and effectiveness of the stimuli are evaluated by the subjects themselves. To address the problem of the emotions not being recognized, we introduce a methodology for a recognizer using prototype-based learning and particle swarm optimization (PSO). The design involves two main phases: i) PSO selects the P% of the patterns to be treated as prototypes of the seven emotions; ii) PSO is instrumental in the formation of the core set of features. The experiments show that a suitable selection of prototypes and a substantial reduction of the feature space can be accomplished, and the recognizer formed in this manner is characterized by high recognition accuracy for the seven emotions using physiological signals. © 2013 ETRI.
키워드
Emotion recognition, Feature selection, Particle swarm optimization, Physiological signal, Prototypes
KSP 제안 키워드
Electrodermal activity, Emotion recognition, Feature selection(FS), Feature space, Human Emotions, Physiological signals, Prototype-based, Recognition Accuracy, skin temperature