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Design of a Set of Foot Movements for a Soccer Game on a Mobile Phone

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The Computer Games Journal

Abstract

In this paper, we report on the design of 19 foot-movements (or gestures) for a soccer game on a mobile phone, all of which are performed by professional footballers. In our experiment, a person wore a Myo armband below the knee and performed each movement, and an accelerometer-based gesture recognition system on an Android smartphone was used to map out each movement. The recognition system ran on a limited memory device, and so a light gesture recognition method was required. Therefore, a real-time online dynamic time warping algorithm was used, since this is faster than a classical method. The algorithm-generated results are comparable with those obtained on workstations, and an average recognition rate of 91 % was obtained.

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Acknowledgments

This work has been supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), through the discovery Grant of Dr. Bob-Antoine J. Menelas Number 418624-2013.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Quebec at Chicoutimi, Chicoutimi, Canada

    Tommy Lavoie & Bob-Antoine J. Menelas

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  1. Tommy Lavoie
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  2. Bob-Antoine J. Menelas
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Correspondence to Bob-Antoine J. Menelas.

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Lavoie, T., Menelas, BA.J. Design of a Set of Foot Movements for a Soccer Game on a Mobile Phone. Comput Game J 5, 131–148 (2016). https://doi.org/10.1007/s40869-016-0024-1

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  • DOI: https://doi.org/10.1007/s40869-016-0024-1

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