Facial attraction recognition method based on electrocardiosignals and photoelectric volume pulse waves
A photoplethysmography and electrocardiographic signal technology, applied in character and pattern recognition, pulse rate/heart rate measurement, medical science, etc., can solve the problems of staying, lack of research on physiological signal changes, etc.
Active Publication Date: 2021-08-24
SOUTHWEST UNIV
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[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.
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[0055] The present invention will be further described below in conjunction with drawings and embodiments.
[0056] Such as figure 1 The shown facial attractiveness recognition method based on electrocardiogram signal and photoplethysmography is characterized in that the specific steps are:
[0057] 1) Data collection: Collect the facial attractiveness level generated by several subjects watching each portrait photo, as well as the subjects' ECG signal V 1 and photoplethysmography V 2 ;Such as figure 2 The specific steps shown are as follows:
[0058] 1-1) Building a portrait photo material library: Obtain 800 high-resolution male and female portrait photos (select photos with frontal faces, smiling faces, single backgrounds, and no complicated decorations), and process all photo materials Form a half-length photo with uniform resolution and size;
[0059] 1-2) Design experiment steps:
[0060] 1-2-1) The occurrence of facial attractiveness is closely related to the deg...
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The invention provides a facial attraction recognition method based on electrocardiosignals and photoelectric volume pulse waves. The facial attraction recognition method comprises the specific steps of collecting the levels of facial attraction generated when a plurality of testees watch each portrait photo, the electrocardiosignals and the photoelectric volume pulse waves; carrying out denoising processing and segmentation processing on the collected signals, respectively extracting the time domain, frequency domain and nonlinear features of segmented signals, and respectively constructing feature data sets; removing the abnormal data in the feature data sets to obtain a feature data set F1' and a feature data set F2'; respectively selecting an optimal feature subset ZF1, an optimal feature subset ZF2 and an optimal feature subset ZF3 from the F1 ', the F2' and a feature set F3' formed by connecting the F1 'and the F2' in series; modeling the feature subsets ZF1, ZF2 and ZF3 by adopting a classification algorithm to obtain a face attraction classification recognition result; and judging the level of face attraction generated when the testee is stimulated by adopting a user-defined algorithm. According to the face attraction recognition method provided by the invention, the face attraction state of the human can be intuitively represented.
Description
technical field [0001] The invention relates to a facial attractiveness recognition method, in particular to a facial attractiveness recognition method based on electrocardiogram signals and photoplethysmography waves. Background technique [0002] Face attractiveness is a kind of positive emotion induced by the face of a person, and this emotion can prompt others to get close to the face. Facial attractiveness is also a very prominent social signal, which affects people's friendship, employment, and may even play an important role in the process of romantic attraction. In social situations, the attractiveness of faces can be quickly perceived by people, and then has an impact on 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 facial attractiveness stays in finding the reasons for inducing facial attractiveness and ...
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IPC IPC(8): A61B5/024A61B5/352A61B5/353G06K9/62
CPCA61B5/02416A61B5/7257A61B5/7267A61B5/7203G06F18/24317G06F18/214
Inventor 刘光远张进逯欢袁光杰
Owner SOUTHWEST UNIV