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EMG-Based Noncontact Human-Computer Interface for Letter and Character Inputting

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Intelligent Robotics and Applications (ICIRA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9245))

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Abstract

Human-computer interface (HCI) is an important way for information transmission between human and computer. This study aims to design a kind of noncontact HCI. Handwriting recognition for computer input is realized by decoding surface electromyography (sEMG) signals from users. In terms of signal processing, a sample entropy-based segmentation algorithm, normalized processing and vector quantization, and hidden Markov model (HMM), are proposed. The from-left-to-right method is used to determine the initial HMM parameters. The continuous inputting of letters and characters is realized with the help of AEVIOUS virtual sliding keyboard, and the average online recognition accuracy on four subjects is 91.8% for 10 numbers and 87.6% for 26 letters.

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Author information

Authors and Affiliations

  1. Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China

    Pengcheng Zhao, Siying Tan & Dingguo Zhang

Authors
  1. Pengcheng Zhao
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  2. Siying Tan
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  3. Dingguo Zhang
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Corresponding author

Correspondence to Dingguo Zhang .

Editor information

Editors and Affiliations

  1. University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  2. Tokyo Metropolitan University, Tokyo, Japan

    Naoyuki Kubota

  3. Shanghai Jiao Tong University, Shanghai, China

    Xiangyang Zhu

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Rüdiger Dillmann

  5. University of Portsmouth, Portsmouth, United Kingdom

    Dalin Zhou

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© 2015 Springer International Publishing Switzerland

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Zhao, P., Tan, S., Zhang, D. (2015). EMG-Based Noncontact Human-Computer Interface for Letter and Character Inputting. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2015. Lecture Notes in Computer Science(), vol 9245. Springer, Cham. https://doi.org/10.1007/978-3-319-22876-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-22876-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22875-4

  • Online ISBN: 978-3-319-22876-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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