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Design of Embedded Network Human Machine Interface Based on VR Technology

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Multimedia Technology and Enhanced Learning (ICMTEL 2021)

Abstract

In order to reduce the number of embedded network control pins in human-computer interface and enhance the reliability of embedded network human-computer interaction interface, a design of embedded network human-computer interaction interface based on virtual reality technology is introduced. In terms of hardware, the controller uses tms320lf28035 DSP chip, and its EVM board is used as the extended digital interface and display module. In terms of software, the keyboard adopts timer interrupt management to save DSP hardware resources and complete human-computer interaction. The circuit meets the requirements of general frequency converter for data input and output display. The serial parallel conversion chip can save hardware resources and provide reference for frequency converter to realize more control functions.

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Authors and Affiliations

  1. Nanchang Business School of Jiangxi Agricultural University, Gongqing, 332020, China

    Yi Huang & Yubin Wang

Authors
  1. Yi Huang
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  2. Yubin Wang
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Editor information

Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. University of Jinan, Jinan, China

    Yuan Xu

  3. University of Leicester, Leicester, UK

    Shui-Hua Wang

  4. University of Leicester, Leicester, UK

    Yudong Zhang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Huang, Y., Wang, Y. (2021). Design of Embedded Network Human Machine Interface Based on VR Technology. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-82562-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82561-4

  • Online ISBN: 978-3-030-82562-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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