| Summary: | 博士 === 國立臺灣藝術大學 === 創意產業設計研究所 === 105 === The difference of performance movements are a frequent reality for training Chinese opera performers. Many aspects of the acting training make performers particularly susceptible to being different with each other’s. Thus, the process of 3D motion capture could investigate the data of movements in between the instructor and students.
The purpose of this study focuses on a comparison of Chinese opera performance movements’ difference for the professionals and students in training place. For the training issues, the “Eight Attributes” are the foundation of performing skills in Chinese opera. It concerns the manner of hands, eyes, head, feet, legs, and body which present the movements of a Chinese opera performer’s physical capabilities. Therefore, the aim of this paper is directly towards one of three types of disciplines, which can be describe as “Basic Exercises” (Ji-ben-gong). It is the most important foundation in the training for traditional Chinese Opera curriculum.
For the methods, the reseacher use PERCEPTION NEURON, a motion capture equipment, for capturing the movements of instructor and participants. A Neuron houses an Inertial Measurement Unit also known as an IMU, with a gyroscope, accelerometer, and magnetometer. The experimental processes consists of two phases. The first phase of experiment are using pre-experimental design in one-shot case study. The second phase of experiment are using true-experimental design in randomized control-group pretest-posttest design.
The subjects and conditions randomly and voluntarily participated. Furthermore, an electronic data analysis program are used to facilitate analysis. The main program used are SPSS 18 because of its versatility in statistical analysis. For the calculate methods, the bivariate correlation, paired sample T-test, ANOVA, IPA (Importance-Performance Analysis), and multiple regrasion are used at a two-tailed significance level of .05 for comparison of the movements of instructor and participants variables such as right hand, left hand, hips, right foot, left foot, and head.
Therefore, 3D motion capture can use for the future application of identifying detailed factors through a live demonstration involving visual blind spots and a rotating 3D doll perspective, to enhance the accuracy of movement observation. Analysed data from 3D motion capture can benefit training. A database analysis could applied to quantify and qualify cross-examination; individualized guidance can enable professionals and students to mitigate the problems of differences. Hopefully, the database of Chinese opera performance movements will be established and not only supported teaching and learning in the real training field but also applied for VR (virtual reality), AR (augmented reality), and MR (mixed reality) in the near future.
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