With the development of society, people's living standards are getting higher and higher, and more and more people are learning to play piano. However, there are not many ways to put students on the right track. Most students give up learning halfway, mostly because the cooperation between hands and arm joints is not good enough. Many researchers have provided new ideas for the study of the use of the six joint postures of the piano player and arm. This paper is based on this as the research direction and research basis. This paper analyses the significance of piano performance and carries out academic research and summary on the use of the six joint posture of piano player and arm; Then the algorithm model is established, and relevant algorithms are proposed to provide theoretical basis for the application of artificial intelligence neural network in the analysis of the six joint posture of piano player and arm; Then it puts forward the application method of the six joint posture of piano player and arm; At the end of the article, the simulation experiment is carried out, and the experiment is summarized and discussed; According to the evaluation of the students' grades in the two classes, the number of students in Class A with grades of 70-90 is the largest, while the number of students in Class B with grades of more than 90 is the largest, and the excellent rate of Class A's grades is 20%, while the excellent rate of Class B's grades is 55%. At the same time, with the continuous popularity of piano performance, the use of the six joint postures of hand and arm is also facing new opportunities and challenges.

Mei Shi. The Application Research of Artificial Intelligence Neural Network in the Posture Analysis of Six Joints of Piano Player and Arm. Frontiers in Art Research (2023) Vol. 5, Issue 9: 58-63. https://doi.org/10.25236/FAR.2023.050910.

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