Analysis method and system for generating characters based on expression recognition and psychological testing
A technology for facial expression recognition and test generation, which is applied in psychological devices, character and pattern recognition, and eye acquisition/recognition, etc. It can solve the problem of low accuracy of personality evaluation results, failure to meet the needs of personality segmentation, and inability to reflect the reality of the person being tested. Personality and other issues to achieve the effect of improving efficiency and accuracy
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Embodiment 1
[0070] The analysis method based on expression recognition and psychological test to generate personality provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3 As shown, the psychological evaluation method that the embodiment of the present invention provides is as follows:
[0071] S201. Obtain the basic information, emotional information, and location information of the subject; wherein, the basic information includes at least the name and profile picture of the monitored object; establish a complete psychological assessment questionnaire database, and generate different test results for different test purposes. Evaluation questionnaires, conduct questionnaire tests on the subjects, and generate corresponding questionnaire evaluation analysis reports according to the test results;
[0072] S202. Based on the data in the questionnaire evaluation and analysis report, obtain the basic information of th...
Embodiment 2
[0080] The analysis method based on expression recognition and psychological test to generate personality provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the personality prediction method provided by the embodiment of the present invention is as follows:
[0081] S401, obtain the real-time physiological information, facial image, psychological information, intelligence information, cognitive information and basic information including age of the subject being evaluated; input the face picture of the subject into the pre-trained convolutional neural network-based first A personality evaluation model, extracting the feature map of the testee's face picture through the first personality assessment model, and obtaining the testee's face picture according to the feature map and the corresponding relationship between the preset feature map and personality dimensions Corresponding evaluation...
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