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Identification Method of Digits for Expanding Touchpad Input

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Book cover Human-Computer Interaction. Multimodal and Natural Interaction (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12182))

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Abstract

A method is presented for identifying the digits, i.e., the thumb and/or finger(s), that touch a touchpad as a means to expand the input vocabulary available on a touchpad. It will enable application designers to assign different commands to touch gestures performed with the same number of digits and the same movement but with different digits. No additional sensors are required for identification; instead the digits are identified on the basis of machine learning using only data acquired from a mutual-capacitance touchpad as learning data. Experimental results revealed an average identification accuracy of 86.3%.

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Authors and Affiliations

  1. University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki, Japan

    Takuto Nakamura & Buntarou Shizuki

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  1. Takuto Nakamura
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  2. Buntarou Shizuki
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Correspondence to Takuto Nakamura .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

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Nakamura, T., Shizuki, B. (2020). Identification Method of Digits for Expanding Touchpad Input. In: Kurosu, M. (eds) Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12182. Springer, Cham. https://doi.org/10.1007/978-3-030-49062-1_31

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  • DOI: https://doi.org/10.1007/978-3-030-49062-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49061-4

  • Online ISBN: 978-3-030-49062-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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