In recent years, sports artificial intelligence research, the main subject is computer science, and the algorithm empirical research of basic theory is preferred.
#Vmd healthcare training how to
How to deeply apply artificial intelligence technology to physical education and break through the limitations of time-space scenarios and knowledge transfer methods in traditional models has become a key issue in intelligent physical education in the era of artificial intelligence. In recent years, the rapid development of a new generation of artificial intelligence technology has had a significant impact on the content, mode, method, and system of traditional physical education. Physical education is one of the important contents of the implementation of comprehensive quality education in my country, and it has a basic supporting role in improving the national physique and improving the quality of life. My country’s artificial intelligence started late, and there is still a certain gap compared with developed countries such as the United States.
#Vmd healthcare training update
With the rapid iterative update of computer technology, it shows stronger intelligence and practicability and is generally accepted by the public. Artificial intelligence is essentially a branch of computer science. Artificial intelligence has experienced the early game, expert system, and other algorithmic models and has developed to the current research direction of machine learning and deep learning. IntroductionĪrtificial intelligence (Artificial Intelligence, referred to as “AI”) is a discipline that studies how to make machines do things that humans need intelligence to accomplish. This shows that the VMD-LSTM model has broad application prospects in such models. In addition, although the training time of the BP neural network is shorter than that of the LSTM model, there is a large gap between the recognition effect and the LSTM, and there are also large differences between different neural network structures. Through experimental analysis and verification, the current signal of the VMD model shows a trend of fluctuating from large to stable and then to large with motion, while the training accuracy of LSTM after the 150th iteration is 94.09%, which shows that the coupling model VMD LSTM can better predict the direction of sports artificial intelligence. Long-short-term neural network (VMD-LSTM) monitoring method for wearable sports equipment.
In order to realize the online monitoring of wearable devices with artificial intelligence in sports and overcome the problem of low recognition accuracy of electrocardiogram, blood oxygen, and respiratory signals in many cases, this paper proposes a combination of variational modal decomposition based on the maximum envelope kurtosis method.
In recent years, with the rapid development of a new generation of artificial intelligence technology, how to deeply apply artificial intelligence technology to physical education and break through the limitations of time-space scenarios and knowledge transfer methods in traditional models has become a key issue in intelligent physical education in the era of artificial intelligence.
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