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Archery Form Guidance System Using Acceleration Sensors and Foot Pressure Sensors

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1225))

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Abstract

Archery can improve its score by keeping the form constant. Therefore, the position where the center of gravity is arranged becomes important. It is also difficult for the center of gravity to be judged by human eyes and for players to always be conscious. The movement of the center of gravity can be estimated from the head movement and the foot pressure. This system uses an acceleration sensor and a foot pressure sensor to support the form. Since archery forms vary by skeleton, the system determines the optimal form for the individual from the accumulated data.

The center of gravity of the form is measured using the acceleration sensor and the foot pressure sensor, and the data, the moving image of the form, and the score are stored. The acceleration sensor is attached to the head and measures the acceleration on the x-axis, y-axis, and z-axis. The system obtains ideal shooting data from past shooting data and displays improvement methods based on the difference between the ideal and the current shooting data.

This system is aimed at players with a score of 500–600 points at 70 mW and the aim is to be able to exceed 600 points.

By performing repetitive exercises using this system, the relationship between the center of gravity and the score can be measured, which can help to stabilize the form.

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Reference

  1. Ahmad, Z., et al.: Biomechanics measurements in archery. In: Ahmad, Z. (ed.) ICMER (2013)

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Correspondence to Ibuki Meguro .

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Meguro, I., Hayakawa, E. (2020). Archery Form Guidance System Using Acceleration Sensors and Foot Pressure Sensors. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-50729-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-50729-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50728-2

  • Online ISBN: 978-3-030-50729-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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