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Hand Gesture-Based Recognition System for Human–Computer Interaction

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Machine Vision and Augmented Intelligence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1007))

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Abstract

Gesture recognition systems reflect the user’s expressions in the real world, visually interpreting and incorporating them as a human–computer interaction channel. Recently, the demand for interaction by gesture has increased manifold and may ultimately replace the concept of mouse and keyboard, possibly soon. This has led to increased research in the area concerned with computer vision-based interpretation of hand gestures. The present work aims to develop a system that recognizes a few hand gestures and produces commands for human–computer interaction. The project execution route followed is image processing and extraction techniques.

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Authors and Affiliations

  1. Electronics and Telecommunication Department, Assam Engineering College, Guwahati, India

    Rajarshi Das, Roshan Kumar Ojha, Dipam Tamuli, Swapnil Bhattacharjee & Niranjan Jyoti Borah

Authors
  1. Rajarshi Das
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  2. Roshan Kumar Ojha
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  3. Dipam Tamuli
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  4. Swapnil Bhattacharjee
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  5. Niranjan Jyoti Borah
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Corresponding author

Correspondence to Rajarshi Das .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Jamshedpur, Jamshedpur, India

    Koushlendra Kumar Singh

  2. Department of Computer Science and Engineering, IIITDM Jabalpur, Jabalpur, India

    Manish Kumar Bajpai

  3. Leeds Beckett University, Leeds, UK

    Akbar Sheikh Akbari

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Das, R., Ojha, R.K., Tamuli, D., Bhattacharjee, S., Borah, N.J. (2023). Hand Gesture-Based Recognition System for Human–Computer Interaction. In: Kumar Singh, K., Bajpai, M.K., Sheikh Akbari, A. (eds) Machine Vision and Augmented Intelligence. Lecture Notes in Electrical Engineering, vol 1007. Springer, Singapore. https://doi.org/10.1007/978-981-99-0189-0_5

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  • DOI: https://doi.org/10.1007/978-981-99-0189-0_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0188-3

  • Online ISBN: 978-981-99-0189-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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