基于姿态分析的Kinect传感器在传统民间舞蹈识别中的应用研究

Eftychios E. Protopapadakis, A. Voulodimos, A. Doulamis, S. Camarinopoulos
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引用次数: 6

摘要

在本文中,我们评估了广泛应用的软计算分类器在民间舞蹈识别问题中的性能,重点是姿势识别。特别是,目标是识别舞蹈的特征姿势,基于同时利用24个身体关节的信息,由Kinect II传感器获得。这些数据集描述了源自希腊的6种民间舞蹈及其变体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on the Use of Kinect Sensor in Traditional Folk Dances Recognition via Posture Analysis
In this paper, we evaluate the performance of widely applied soft computing classifiers, in folk dance recognition problems, emphasizing on posture identification. In particular, the goal is to identify postures which are characteristic for the dance performed, based on exploiting simultaneously the information of 24 body joints, acquired by a Kinect II sensor. The data sets described 6 folk dances, and their variations, originating from Greece.
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