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The curved surface visualization of the expert behavior for skill transfer using Microsoft Kinect | IEEE Conference Publication | IEEE Xplore

The curved surface visualization of the expert behavior for skill transfer using Microsoft Kinect


Abstract:

Method of teaching and inheriting for skill is almost oral. It is not quantitative but qualitative. Quantitative inheriting of skill is difficult. In this paper, after tr...Show More

Abstract:

Method of teaching and inheriting for skill is almost oral. It is not quantitative but qualitative. Quantitative inheriting of skill is difficult. In this paper, after tracking of a subject's skill motion using Microsoft Kinect, a subject's motion is visualized as the curved surface. A curved surface is fitted in the positions of a subject's joint, or the direction of trajectories. Expert and beginner perform swimming and karate motion. After the motions are tracked, the trajectories of joints are transformed to a curved surface. The difference of an action between an expert and a beginner is extracted by investigating curvatures and form on the visualized curved surface. Therefore, we expected that technical skill is transferred easily.
Date of Conference: 01-03 September 2014
Date Added to IEEE Xplore: 26 February 2015
ISBN Information:
Conference Location: Vienna, Austria
Citations are not available for this document.

1 Introduction

The actions at the time of dances, sports, and engineering are different greatly to an expert and a beginner. However, methods of teaching and inheriting for skill is almost oral. It is not quantitative but qualitative. Quantitative inheriting of skill is difficult. In the case of sports, the experts express in abstract languages, such as onomatopoeia, or metaphor of an object image. However, they can't teach or inherit exactly and quantitatively. In the case of engineering [Takeo and Natsu, 2011], the experts can't express a motion of fingertips and arms orally in technical parts, such as machine tool operation. Then, after seeing an expert's operation, the beginner trains by performing imitated the operation. In addition, the inheritance is impossible when experts leave suddenly. Moreover, since quantitative evaluation cannot be performed, the same motion is not always repeated. Then, an expert's motion is captured by video camera photography, and the motions are analysed in research or software [Cheung, Baker and Kanade, 2003], [Sigal and Black, 2006]. The method is the motion capture by one or more camera sets, with the background subtraction technique, extracts a human's outline and displays only a human's motion. The motion can be preserved, and the reproducibility is high. However the extraction of human position is difficult, and quantitative evaluation is limited or no meaning. Furthermore, in order that motion capture may require large scale equipment, the possible capture place is restricted in many cases. By forcing marker wearing on a subject, we can hardly expect to track the usual motion.

Cites in Papers - |

Cites in Papers - IEEE (2)

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1.
Kaoru Mitsuhashi, Sho Yokota, Hiroshi Hashimoto, Sang-Gyu Shin, Daisuke Chugo, "Education system of skill succession based on 3D evaluation and improvement in time series", 2015 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp.1-5, 2015.
2.
Kaoru Mitsuhashi, Hiroshi Hashimoto, Yasuhiro Ohyama, "Motion curved surface analysis and composite for skill succession using RGBD camera", 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO), vol.02, pp.406-413, 2015.
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