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Improving Ultrasound-Based Gesture Recognition by Partially Shielded Microphone

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Abstract

We propose a method to improve ultrasound-based in-air gesture recognition. Doppler effect is often used to recognize ultrasound-based gesture. However, increasing the number of gesture is difficult because of limited information obtained from that. In this study, we partially shield the microphone by a 3D printed cover. Acoustic characteristics of the microphone is changed by the cover, and it increases the obtained information. Since the proposed method utilizes a 3D printed cover and a pair of embedded speaker and microphone of a device, it does not require additional electrical device to improve gesture recognition. We implemented five microphone covers and investigated the performance of the proposed method in six gestures with four participants. Evaluation results confirmed that the recognition accuracy increased 12% in the most effective device by using the proposed method.

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Correspondence to Hiroki Watanabe .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Watanabe, H., Terada, T. (2018). Improving Ultrasound-Based Gesture Recognition by Partially Shielded Microphone. In: Murao, K., Ohmura, R., Inoue, S., Gotoh, Y. (eds) Mobile Computing, Applications, and Services. MobiCASE 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-90740-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-90740-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90739-0

  • Online ISBN: 978-3-319-90740-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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