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A Review on Sign Language Recognition Techniques

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Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing (ICCIC 2022)

Part of the book series: Cognitive Science and Technology ((CSAT))

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Abstract

Not many people understand sign language, which poses a problem to people who can only communicate with sign language. They are unable to perform basic day-to-day activities due to this problem. Thus, many solutions were developed to help such people communicate effectively and live relatively easier life. Many papers from reputed journals were studied to gain an understanding of the working of these solutions. Based on our research, there are two kinds of solutions proposed: a glove-based approach where mute people can wear the gloves and sign what they want to communicate, and the device placed on the glove can convert the gestures signed to speech or text, which a non-mute person can easily understand and comprehend. The second solution is a computer vision based. By using a camera, the gestures signed by a person can be captured, processed, and identified. The output can be given in the form of text or speech or both. The rest of this review paper goes in depth about the various solutions proposed. Their methodology, advantages, and disadvantages are analyzed, compared, and discussed.

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Authors and Affiliations

  1. IT Department, Chaitanya Bharathi Institute of Technology, Hyderabad, India

    S. Rakesh, M. Venu Gopalachari, D. Jayaram, Ishika Gupta, Kritika Agarwal & Ganji Nishanth

Authors
  1. S. Rakesh
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  2. M. Venu Gopalachari
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  3. D. Jayaram
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  4. Ishika Gupta
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  5. Kritika Agarwal
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  6. Ganji Nishanth
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Corresponding author

Correspondence to S. Rakesh .

Editor information

Editors and Affiliations

  1. BioAxis DNA Research Centre Private Limited, Hyderabad, Andhra Pradesh, India

    Amit Kumar

  2. Department of Computer Science, Brunel University, Uxbridge, UK

    Gheorghita Ghinea

  3. CMR College of Engineering and Technology, Hyderabad, India

    Suresh Merugu

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

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Rakesh, S., Venu Gopalachari, M., Jayaram, D., Gupta, I., Agarwal, K., Nishanth, G. (2023). A Review on Sign Language Recognition Techniques. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2742-5_32

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  • DOI: https://doi.org/10.1007/978-981-99-2742-5_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2741-8

  • Online ISBN: 978-981-99-2742-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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