Intelligent Recommendation System for Patient Rehabilitation

This paper describes an intelligent recommendation system for the restoration and training of the human respiratory system using individually selected special exercises and increasing motivation when performing them. Personal recommendations for the composition of the exercises are formed on the basis of interactive intellectual analysis of video information about a person’s physical activity, taking into account his/her experience. Machine learning models and methods are used to select exercises and evaluate the effectiveness of their implementation. The results of testing the recommendation system are presented.