A study on the impact of theater performing arts combined with drama arts on the stage in the context of big data

Abstract

Abstract In this paper, based on the law of motion, combining the spherical coordinate system representation with the drama art of action feature recognition in the process of theatrical performance, the joint points of wrist, elbow and shoulder and the corresponding feature vectors as well as the school angular velocity are calculated. The affine invariant domain of feature matching is constructed, and the algorithms of dynamic frame difference merging and dynamic detection of human-computer interaction are applied to obtain similar feature components of the recognition of body movements and gesture commands in the process of theatrical performance. The harmony factor, emotion factor and contrast factor in the stage scene are used as evaluation parameters to derive the color evaluation function and keyframes of theatrical stage lighting combined with drama art. For the research purpose, the research on the stage influence of the theatrical performance of combining drama is designed, and the example analysis of the stage influence of the theatrical performance of combining drama is analyzed by using origin software. The results show that the level of the audience’s arousal dimension is significantly higher than its level in CSP, t(1, 29)=3.959, p<0.001, upper threshold (Engagement=0.38, Arousal=0.26), lower threshold (Engagement=0.35, Arousal=0.21), i.e., the specific performance episode for the audience to bring about significant emotional relaxation. Audience ratings of CAC were generally higher than their ratings of CSP, with differences ranging from 0.2 to 1.5. The mean times that subjects were in the “S(n)=1” state in the three modes were 219.86 (SD=60.62), 287.37 (SD=80.68), and 310.7 (SD=45.83), respectively. 45.83). This study greatly improves the impact of stage art and gives a whole new life to the combination of theater performance and drama stage art.