首页> 外文会议>Robot and Human Interactive Communication, 2001. Proceedings. 10th IEEE International Workshop on >Quantification of characteristic features of Japanese dance for individuality recognition
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Quantification of characteristic features of Japanese dance for individuality recognition

机译:量化日本舞蹈的特征以识别个性

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Using the Eva infrared system for motion capture which outputs 3D-track data, we traced a portion of the famous Japanese dance number Fuji-Musume. A characteristic motion, or furi, and some sub-motions were extracted from the data by a devised algorithm that was applied to dance scenarios performed by an expert and beginner. From the extracted motions, index variables (indices) defined to quantify four typical forms were measured, with results indicating that they were beneficial for evaluating dance skill and distinctiveness. Another experiment compared various dances, where it was also found that the proposed indices allow comparing characteristics of motions beyond the type of dance.
机译:使用输出3D轨迹数据的Eva红外系统进行运动捕捉,我们跟踪了著名的日本舞蹈编号Fuji-Musume的一部分。通过设计的算法从数据中提取特征运动(或怒气冲冲)和一些子运动,该算法应用于专家和初学者执行的舞蹈场景。从提取的动作中,对定义为量化四种典型形式的索引变量(索引)进行了测量,结果表明它们有益于评估舞蹈技巧和独特性。另一个实验比较了各种舞蹈,还发现提议的指标可以比较除舞蹈类型以外的动作特征。

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