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Educational Environment of Video System Using Superimposing Symbols to Support for Skill Training

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Book cover Human Interface and the Management of Information. Interacting with Information (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12185))

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Abstract

The body movement is composed of a series of postures, and it is possible for some learners to enhance the training effect by becoming conscious of the transitions from one posture to the next as movement. In the case of squats, the movement contains standing and flexing-posting posture factors, and the effect is enhanced by making them aware of the difference between ideal and current posture with some instructions. However, when watching general video teaching materials without coach by individuals, it is difficult for learners to be aware of movements and correct them. In this study, the system generates symbols to present instruction for the movements. The marker pointing movements are attached to a learner on the video by using AR marker to distinguish movement from a change of the posture. We developed and evaluated a video system to support so that a learner became conscious of the movement as improvement steps.

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References

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Numbers JP18H03344, JP19K12270 and 19K11463. In terms of system implementation and experiment, Mr. Takuya Ishioka and Mr. Takahiro Kumon contributed significantly on this work.

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Correspondence to Naka Gotoda .

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Gotoda, N., Kometani, Y., Yaegashi, R., Hayashi, T. (2020). Educational Environment of Video System Using Superimposing Symbols to Support for Skill Training. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information. Interacting with Information. HCII 2020. Lecture Notes in Computer Science(), vol 12185. Springer, Cham. https://doi.org/10.1007/978-3-030-50017-7_11

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  • DOI: https://doi.org/10.1007/978-3-030-50017-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50016-0

  • Online ISBN: 978-3-030-50017-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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