Analysis of psychological teaching assisted by artificial intelligence in sports training courses

It is difficult to quantify the psychologically assisted teaching process in sports training courses. In order to improve the teaching efficiency and practical effects of sports training courses, based on machine learning and artificial intelligence algorithms, this paper uses HRV signals to identify and evaluate the stress state of the human body. Moreover, this paper analyzes the characteristics of heart rate variability reflecting the activity of the heart's autonomic nervous system, and finds out the pattern of change displayed under different stress states, so that the detection of psychological stress can be easily realized. Methodology: In addition, this paper uses related methods and technologies in the field of machine learning to establish a mental health prediction model based on sports training, and applies it to the auxiliary teaching of sports training courses. Results: Finally, this paper designs experiments to study the performance of the system constructed in this paper. The research results show that the model constructed in this paper has good performance and can play a certain effect in practice.