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Proceedings 2018, 2(6), 205; doi:10.3390/proceedings2060205

Detecting and Sonifying Temporal Patterns of Body Segments When Batting

1
NTT Service Evolution Laboratories, 1-1, Hikarinooka, Yokosuka, Kanagawa 238-0847, Japan
2
NTT Communication Science Laboratories, 3-1, Wakamiya, Morinosato, Atsugi 243-0198, Japan
3
MDOOS, Bezuidenhoutseweg 65-11, 2594AC The Hague, The Netherlands
Presented at the 12th Conference of the International Sports Engineering Association, Brisbane, Queensland, Australia, 26–28 March 2018.
*
Author to whom correspondence should be addressed.
Published: 14 February 2018
Download PDF [2788 KB, uploaded 14 February 2018]

Abstract

To improve skill in sport activities it is essential to discern the temporal patterns of one’s own movements. Our previous motion capture experiment involving elite female softball players identified key differences in the temporal body movements between the top players and young players against fastballs/change-ups. In this paper, we found that key features could be extracted from the rotation of the pelvis and we developed a sonification feedback system with two nine-axes inertial sensors. Rotation patterns are converted into two synthesized sounds to represent the time at peak trunk rotation speed and impact time. We conducted a pilot experiment with this feedback proposal using expert and novice batters, male and female whether the participants can pace of the rotational motion in batting. As a result, this feedback approach may allow the user to alter the time of peak trunk rotation speed to more closely match the cue provided by the training sound.
Keywords: softball; trunk motion; feedback; sonification softball; trunk motion; feedback; sonification
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kobayashi, A.; Nasu, D.; Morimoto, Y.; Kashino, M.; Kimura, T. Detecting and Sonifying Temporal Patterns of Body Segments When Batting. Proceedings 2018, 2, 205.

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