A Study on Finding Key Movements to Discriminate Expert and Novice by Using a Kinect-Like 3D Sensor

H. Murao, Kazuaki Nonohara
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Abstract

What is an essential difference between the expert movement and the novice one at where the movement plays important role such as dancing, playing darts, or preparing tea at Japanese tea ceremony? We would like to figure out it from the movement of the human joints at an activity. Which will give us a hint how to improve our behavior. In our study, Structure Sensor, a Kinect-like 3D sensor, is used to track and record 3-dimensional positions of the human joints during an action. The device is portable and does not require any sensors nor markers attached to observed persons. We then investigate the effectiveness of a statistical approach. Results of preliminary experiments established for dancing will be reported.
基于类kinect三维传感器的关键动作识别方法研究
在舞蹈、飞镖、日本茶道泡茶等重要动作中,专家动作和新手动作有什么本质区别?我们想通过人体关节在某项活动中的运动来计算出它。这将给我们一个如何改善我们的行为的提示。在我们的研究中,结构传感器是一种类似kinect的3D传感器,用于跟踪和记录人体关节在动作过程中的三维位置。该设备是便携式的,不需要任何传感器或标记附加到观察人员。然后我们调查了统计方法的有效性。将报告舞蹈初步实验的结果。
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