Abstract
Global competition is the competition of human resources, the social demand for high-quality talents is increasing, and the demand for all kinds of talents is increasing. Therefore, how to scientifically and efficiently complete the preliminary screening of college students’ mental health, so as to provide services for them, has become an important task. In order to solve the above problems, by combining the relevant professional knowledge of psychology, statistics, image processing, and artificial intelligence technology, a personality trait detection method based on active shape model (ASM) localization and deep learning is proposed. Firstly, the traditional ASM algorithm is improved and applied to facial feature point location, which provides training basis for further deep learning. It mainly includes three aspects of improvement: (1) 2D texture model based on Gabor wavelet and gradient features; (2) new multiresolution pyramid decomposition method; and (3) improved multiresolution pyramid search strategy. Secondly, the deep belief network model is used to train and classify the students’ four personality traits and facial features, so as to dig out the relationship between the four personality traits and facial features. The experimental results show that the localization effect of the improved ASM algorithm is obviously better than that of the traditional algorithm, and the classifier after learning and training has a good effect in analyzing the four personality traits.
Highlights
In essence, global competition is the competition of human resources. erefore, the social demand for high-quality talents is increasing, and the demand for all kinds of talents is increasing. erefore, how to scientifically and efficiently complete the preliminary screening of college students’ mental health, so as to provide services for them, has become an important task.As a cross-discipline, management science and engineering include many research fields [1,2,3,4,5]
In order to classify the personality characteristics of talents accurately and quickly, management science and engineering need to combine relevant professional knowledge such as psychology, statistics, image processing, and artificial intelligence technology to establish a personality classification tree based on facial features to achieve efficient personality trait classification. us, we can understand the potential psychological problems of college students at the first time, effectively improve their mental health, and help quickly find suitable roles according to their personality
Different from the existing methods, on the basis of traditional personality test, this study combines face recognition technology and data mining technology to quickly and accurately find the relationship between facial features and personality traits and establish a student personality classification tree based on facial features. e main contributions of this paper are as follows: (1) e traditional active shape model (ASM) algorithm is improved in three aspects, and the improved algorithm is applied to the facial feature point location, which solves the shortcomings of the traditional ASM algorithm, such as inaccurate location, low efficiency, and easy to fall into local minimum
Summary
Global competition is the competition of human resources. erefore, the social demand for high-quality talents is increasing, and the demand for all kinds of talents is increasing. erefore, how to scientifically and efficiently complete the preliminary screening of college students’ mental health, so as to provide services for them, has become an important task.As a cross-discipline, management science and engineering include many research fields [1,2,3,4,5]. In order to classify the personality characteristics of talents accurately and quickly, management science and engineering need to combine relevant professional knowledge such as psychology, statistics, image processing, and artificial intelligence technology to establish a personality classification tree based on facial features to achieve efficient personality trait classification. E character of a character refers to the relatively stable and core psychological characteristics of his attitude and behavior in Scientific Programming the face of real things. It is a kind of personality characteristic with the highest correlation with society, which is closely related to facial features [9,10,11,12]. How to associate human character with complex facial features and find the relationship between them is the primary problem to be solved in this study
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
