Badminton Action Recognition and Detection using Artificial Intelligence and Neural Network Technology

With the progress of society, people pay more and more attention to physical health, in which badminton is popular because of its simplicity and variety. In order to help you to play badminton safely, This paper is based on artificial intelligence and neural network technology, To study the recognition of badminton movements, Using artificial intelligence to collect data on badminton racket swing and other movements, And use neural network technology to strategy these data, To perform the feature extraction, Extract the high-quality badminton characteristic movements, While prompting the exercisers to do physical exercise, Better understand your physical state and competitive ability, By comparison with the deep learning algorithms, Found that the technical algorithm studied in this paper can improve the accuracy of badminton action recognition, The accuracy of the technical algorithm based on this paper is more than 95%; At the same time, the swing movement is studied, It can be found that the accuracy of the technical algorithm studied in this paper is above 96%. Therefore, based on artificial intelligence and neural network technology, it is meaningful to identify and detect badminton movements.