Face attractiveness recognition method based on ECG signal and photoplethysmography

Abstract

The present invention provides a face attractiveness recognition method based on electrocardiogram signals and photoplethysmography. The specific steps are: collecting face attractiveness grades generated by several subjects viewing each portrait photo, as well as electrocardiogram signals and photoplethysmography. Denoising and segmenting the collected signal, extracting the time domain, frequency domain and nonlinear features of the segmented signal respectively, and constructing feature data sets respectively; eliminating abnormal data in the feature data set, and obtaining the feature data set F 1 ' and feature dataset F 2 '; respectively from F 1 ', F 2 ' and F 1 ' with F 2 'Concatenated feature set F 3 ' to select an optimal feature subset ZF 1 , ZF 2 and ZF 3 ; The feature subset ZF respectively paired by the classification algorithm 1 , ZF 2 and ZF 3 Modeling is performed to obtain the classification and recognition results of facial attractiveness; then a custom algorithm is used to determine the facial attractiveness level of the subject when receiving stimulation; the facial attractiveness recognition method proposed in this application can intuitively represent the facial attractiveness state of humans.

Description

technical field [0001] The invention relates to a face attractiveness recognition method, in particular to a face attractiveness recognition method based on electrocardiographic signals and photoplethysmography. Background technique [0002] Facial attractiveness is a positive emotion evoked by a character's face, and the emotion can motivate others to approach the face. Facial attractiveness is also a very significant social signal that influences people's friendships, employment, and may even play a major role in romantic attraction. In social situations, facial attractiveness can be quickly perceived by people, which in turn affects cognitive processes such as attention, perception, and decision-making. Therefore, research on identifying facial attractiveness has important social significance. [0003] At present, most of the research on face attractiveness remains in finding the reasons for inducing face attractiveness and exploring the brain mechanism of face attractiv...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the research on facial attractiveness stays in the search for the causes of facial attractiveness and the exploration of the brain mechanism of facial attractiveness. There is a lack of research on the changes in physiological signals during the emotional state of facial attractiveness.

Images