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Abstract

As computers are becoming increasingly pervasive, there is a growing interest in the development of new approaches and technologies for bridging the human–computer barrier. The aim is to bring human–computer interaction (HCI) to a regime where the interactions with computers become as natural as the interactions between humans. As a part of HCI, incorporating hand gestures into communication methods is an important research area. Hand gesture recognition (HGR) is the natural way of human–machine interaction. Today many researchers in the academia and industry are studying different techniques that make such interactions easier, natural, and convenient without the requirement for any additional devices.

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References

  • W. Graham, Artificial Intelligence in Engineering (Wiley, West Sussex, 1991)

    Google Scholar 

  • K.L. Kroeker, Alternate interface technologies emerge. Commun. ACM 53(2), 13–15 (2010)

    Google Scholar 

  • C.A. Pickering, in The search for a safer driver interface: a review of gesture recognition human machine interface. IEE Comput. Control Eng. 34–40 (2005)

    Google Scholar 

  • L. Tarrataca, A.C. Santos, J.M.P. Cardoso, in The Current Feasibility of Gesture Recognition for a Smartphone Using J2ME. Proceedings of the ACM Symposium on Applied Computing, pp. 1642–1649 (2009)

    Google Scholar 

  • M. Shimizu, T. Yoshizuka, H. Miyamoto, in A Gesture Recognition System Using Stereo Vision and Arm Model Fitting. Proceedings of Third International Conference on Brain-Inspired Information Technology, Kitakyushu, Japan, pp. 89–92, 27–29 Sept 2006

    Google Scholar 

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Correspondence to Ankit Chaudhary .

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Chaudhary, A. (2018). Introduction. In: Robust Hand Gesture Recognition for Robotic Hand Control. Springer, Singapore. https://doi.org/10.1007/978-981-10-4798-5_1

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  • DOI: https://doi.org/10.1007/978-981-10-4798-5_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4797-8

  • Online ISBN: 978-981-10-4798-5

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