Human Motion Pattern Perception Algorithm Based on Heterogeneous Multiprocessor and Deep Learning

With the continuous progress of mankind, the level of sports is particularly important in today’s society. Mobile communication system is one of the key parts. This paper proposes a method of human biological signal processing based on heterogeneous multiprocessor and deep learning. The algorithm utilizes the characteristics of real-time, scalability and high reliability, and can adapt to the needs of users with good performance, easy to use, and can realize human-computer interactive perception. After that, this paper describes the concept of heterogeneous multiprocessor and studies the application of deep learning algorithm. In this paper, the MATLAB programming language is used to verify its effectiveness, and the simulation results prove the accuracy of this scheme. The experimental results show that the correct rate of recognition features is basically above 90%.