A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features.

IEEE Transactions on Affective Computing(2018)

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摘要
In this paper, we introduce a system named Portable Personality Recognizer (PPR), which classifies the personality of an individual using his/her transitions of affective states. This work attempts to reveal the latent relationship between emotions and personality of a person. Here, we train a hidden Markov model (HMM) with observable emotional states viz. Happiness (H), Anger (A), Surprise (S) an...
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关键词
Hidden Markov models,Emotion recognition,Biological system modeling,Feature extraction,Brain modeling,Temperature sensors,Blood
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