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Chinese Conference on Image and Graphics Technologies

IGTA 2018: Image and Graphics Technologies and Applications pp 635–646Cite as

A Survey on Dynamic Hand Gesture Recognition Using Kinect Device

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 875))

Abstract

In Human Computer Interface (HCI) technology, Hand Gestures Recognition (HGR) is a diverse field. In Dynamic Hand gesture recognition (DHGR), an unprecedented work has been done over few decades and it is still growing day by day. HGR has been extensively used in other scopes like biomedical, gaming and entertainment, research and monitoring etc. Because of its versatile utility, HGR is getting popular among the people, as it is making HCI more efficient, natural and user friendly. For the purpose of accurate segmentation and tracking a controller free and fascinating device, Kinect was introduced. In this paper Kinect based algorithms are discussed and addressed. Algorithms for DHGR are compared and particularly focused on Hidden Markov Model (HMM) and Support Vector Machine (SVM). At the end, it is observed that recognition accuracy improved significantly with Kinect device due to its good interactive features, efficiency and accuracy.

This work has been supported by the National Key R&D Program of China (No. 2016YFB1001502) and National Science Foundation of China (61631010).

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Author information

Authors and Affiliations

  1. School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China

    Aamrah Ikram & Yue Liu

Authors
  1. Aamrah Ikram
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  2. Yue Liu
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Corresponding author

Correspondence to Yue Liu .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Yongtian Wang

  2. Beihang University, Beijing, China

    Zhiguo Jiang

  3. Peking University, Beijing, China

    Yuxin Peng

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© 2018 Springer Nature Singapore Pte Ltd.

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Ikram, A., Liu, Y. (2018). A Survey on Dynamic Hand Gesture Recognition Using Kinect Device. In: Wang, Y., Jiang, Z., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2018. Communications in Computer and Information Science, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-13-1702-6_63

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  • DOI: https://doi.org/10.1007/978-981-13-1702-6_63

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1701-9

  • Online ISBN: 978-981-13-1702-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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