Abstract
Electrocardiography (ECG) is one of the most important physiological signals, which has been proven to contain reliable afiective information. Four kinds of objective afiects including happiness, sadness, angry and fear, are induced by afiective fragments from movies, and ECG signals are recorded by Biopac MP 150 synchronously. In an independent experiment the afiective videos are played twice, and in the second presentation the press flle of afiective re-evaluation is obtained, which registers the subjective experience of participants and help us intercept the reliable afiective ECG. The detrended ∞uctuation analysis is used to quantitate the temporal correlations by the scaling exponent in afiective ECG. And the result showed that ECG of happiness, sadness, angry and fear had long-range correlations. Then the scaling exponent is used by the binary classifler of Fisher as an afiective feature, and the result showed that the correct recognition rate of happiness, sadness, angry and fear are 89.74%, 90.1%, 70.43%, 84.44% respectively. The whole experiment displays that the nonlinear features have a flne distinction in difierent emotions.
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