Mental Health Assessment of Higher Cocational Colleges Based on Artificial Intelligence

The development of today's world is changing with each passing day, and the country is strong if the talents are strong. On the premise of ensuring the recognition ability, in order to reduce the requirements for prior knowledge and data scale for constructing each type of micro-expression representation feature, combined with the response characteristics of individual micro-expressions, computer vision technology and artificial neural network technology are used to detect and identify video content micro-expressions. The accuracy rate of the micro-expression recognition model obtained by optimizing the error of the SGD method is above 85%. Finally, the micro-expression recognition algorithm of ROIs is used to realize the online mental health assessment of vocational students, which provides important clues for further improving the reliability of the mental health assessment of vocational students., to provide new technical means and tools for improving the information system construction of higher vocational mental health education.