Emotions Recognition Based on Wrist Pulse Analysis

In modern time, emotions affect people in many aspects of life. Long-term emotional problems lead to mental and physical problems such as depression. Wrist pulse contains the information regarding the physiological and pathological state of an individual. Overall mental and physical status of human can be checked with the wrist pulse through pulse examination or nadi parikshan. This paper discusses the parameters of wrist pulse in terms of Vata, Pitta, and Kapha energies for different emotions (anger, calm, fear). Manually, Vata, Pitta, and Kapha are sensed by the medical practitioners through three fingers. Here the pulse data is being acquired through the optical pulse sensor interfaced with the ATMEGA328 microcontroller. Signal processing techniques as approximate entropy, sample entropy, augmentation index, pulse rate are applied in MATLAB to extract the features of Vata, Pitta, and Kapha to recognize the emotions. It is found that Vata rate is high for fear emotion while Pitta rate is high for anger emotion and for calmness emotion, Kapha rate is high. Approximate entropy, sample entropy, augmentation index are more for anger emotion than other emotions.