Automatic Dancing Assessment Using Kinect
Automatic Dancing Assessment Using Kinect
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使用 Kinect 自动评估舞蹈
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
C. Chiang
中科院分区：
文献类型：
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作者：
Ta;Yu;C. Chiang
本文介绍了一种舞蹈学习者自动测评系统的设计。通过利用Microsoft Kinect获取学习者的三维运动数据，该系统提取特征并将获取的数据与对应的教师样例运动进行匹配。提出的系统具有其他现有系统所没有的几个独特的功能，包括(1)学习者的表现可以根据姿势和节奏的准确性进行单独评估，以及(2)在学习者练习期间自动识别身体关节上的错误运动。为了容忍在幼稚学习者的练习中经常出现的滞后、冗余和错误的动作，我们使用动态时间规整(DTW)算法来评估姿势精度，从而使不同时间和长度的两个动作序列能够准确地对齐。在节奏精度评估方面，系统采用快速傅立叶变换(FFT)提取反映人体运动节奏的运动频率。与人类裁判的评估结果相比，该系统的评估结果在姿势精度和速度精度上的一致性分别达到了84%和77%。
This paper presents the design of an automatic assessing system for dance learners. By exploiting the Microsoft Kinect to acquire 3-D motion data of the learners, the proposed system extracts features and performs matching between the acquired data and the corresponding sample motion of a teacher. The proposed systems have several distinctive functions not appearing in other existing systems, including (1) the performance of a learner can be assessed separately in terms of accuracies in posture and rhythm and (2) the automatic identification of error motion on body articulations during the learn’s exercising. To tolerate the lagged, redundant and wrong motions, which are frequently seen on a naive learn’s exercising, our assessment of posture accuracy is done by dynamic time warping (DTW) algorithm so that two motion sequences with different timing and lengths can be accurately aligned. On assessing the accuracy in rhythm, the system applies the fast Fourier transform (FFT) to extract the motion frequency which portrays the rhythm of body motions. Compared with the assessment made by human judges, the system’s assessment achieves the consistency of 84% and 77% in assessing the posture accuracy and tempo accuracy, respectively.