| In recent years, emotion research as an interdisciplinary field of knowledge covers a broad range of research topics becomes a hot research field in psychology and computer. It has a high level of comprehensive and practical. Pulse is a common physiological phenomenon; through the pulse signals research different emotional states impact on human health has an important significance. Because in the human cardiovascular system, blood pressure is the heart and vascular system combined effect changes of the arterial reflects pulse signal, it is directly related to human health status. Through the pulse signals identification and analysis different types of emotional, can solve a series of medical, social problems and provide a theoretical basis and practical basis.Physiological mechanisms of pulse signals and the Pulse Method of time-domain anal-yes in traditional Chinese medicine school are introduced in detail in this paper. Theory-based on DFT and FFT; the effects of different emotional state of the pulse signal waveform in time domain and power spectrum is researched, the time-frequency pulse signal changes is analyzed effectively.The characteristics of the pulse signals of corresponding four basic emotions are analyzed and summarized by using frequency domain in this paper. The experiments show that the overall trend of pulse signal power spectrum increased as frequency addition. Almost all of the pulse-wave energy is concentrated in the low frequency (0～10Hz) position, the maximum frequency of 40Hz can not be exceed, 10Hz power spectral energy Accounted for the total power spectrum is about 90%.Respectively, by linear discriminate analysis (LDA) and neural network methods on 40 samples (10 cases of a state of happiness, 10 cases of a state of fear, 10 cases of a state of emotional, 10 cases of a state of anger) for classification and identification of research in this paper, results showed that both methods can effectively identify the emotional type. |
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