Application of artificial intelligence dance art based on biomechanics innovation practice
Abstract
Research purpose: To explore the influence of dance training and creation methods based on the combination of biomechanics and artificial intelligence (AI) technology on dance expression, biomechanics indicators and subjective satisfaction of dancers, to promote the modern development of dance art, and to optimize the dance education and training methods. Study method: A control experiment was designed, and then the subjects were divided into experimental group and control group. The experimental group adopted the dance training and creation method based on the combination of biomechanics and AI technology, while the control group adopted the traditional dance training and creation method. During the experiment, the biomechanical data of the dancers were collected using the 3D motion capture system and EMG measurement equipment, and the AI model was developed for data analysis and training guidance. Study content: The experiment involved the assessment of dance performance, the comparison of biomechanical indicators, and the subjective satisfaction survey of dancers. Rate the dance works, evaluate the innovation of dance movements, the depth of emotional expression, etc., use advanced equipment to measure the biomechanical indicators of peak joint strength and muscle fatigue, and understand the feelings and opinions of dancers on the experiment through questionnaire and interview. Results: The experimental group showed obvious advantages in dance performance, biomechanics, and subjective satisfaction of dancers. Dance works are equally expressive. All scores were significantly higher than the control group, peak joint stress was relatively low, muscle fatigue increased slowly, and dancer satisfaction scores also were significantly higher.
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