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An emotional analysis method based on heart rate variability

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2 Author(s)
Chendi Wang ; Sch. of Biol. Sci. & Med. Eng., Southeast Univ., Nanjing, China ; Feng Wang

In this paper, we propose a method to evaluate human's emotion and stress based on heart rate variability (HRV). Firstly, experiment scheme has been designed to induce 4 kinds of emotions and the corresponding electrocardiogram (ECG) changes have been measured in a laboratory setting; Secondly, an improved fast denoising method based on wavelet transform threshold denoising was proposed to process the noisy ECG signal, then we realize automatic extraction of HRV sequences; Finally, a wide range of physiological features from various analysis domains, including time, frequency, nonlinear analysis is proposed in order to find the best emotion-relevant features and to correlate them with emotional states, some important conclusions have been obtained.

Published in:

Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on

Date of Conference:

5-7 Jan. 2012