Emotion recognition using parabolic phase space mapping for heart rate variability analysis

In this paper, extracted features from Parabolic Phase Space Mapping (PPSM) of RR time series and its extended version were used to distinguish four emotionstates (energetic, calm, happy, and anxious) induced by picture stimuli. In order to induce emotions, four groups of pictures with different emotional concepts were used as a visual stimulus while the lead II of ECG was recorded. Induced emotion was confiremed by self-assessment manikin test. The results show that extracted features were significantly different between energetic and calm, energetic and happy, energetic and anxious, calm and happy, calm and anxious, and happy and anxious (p<0.05).

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