Dance Movement Analysis Based on Big Data Somatosensory Interaction Technology

Abstract

Traditional dance evaluation is mostly carried out through the combination of manual and machine recognition, which can't capture dance movements properly, and can't realize self-evaluation for users who lack manual evaluation conditions. In order to improve the analysis effect of dance movement fluency, this paper proposes a dance movement fluency evaluation system combined with somatosensory interaction technology, and in order to correct the trainer's dance posture, this paper establishes a standard dance movement comparison template. In addition, this paper uses Kinect to collect standard dance movement data, and repairs the occluded joint information to form a standardized movement number. Through the analysis, it can be seen that the dance movement fluency analysis system combined with somatosensory interaction technology proposed in this paper can effectively improve the dance movement evaluation effect. Therefore, applying interactive movements to dance movement analysis is the development direction of dance movement evaluation in the future, and it is also the basis of independent dance learning.