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Hand Gesture Recognition with Leap Motion

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Proceedings of the Future Technologies Conference (FTC) 2018 (FTC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 880))

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Abstract

Hand gesture is a natural way for people to communicate, it plays an important role in Human-Computer Interaction (HCI). Nowadays, many developers build HCI applications on the top of hand gesture recognition, but how to get more accurate when recognizing hand gestures still have a long way to go. The recent introduction of depth cameras like Leap Motion Controller (LMC) allows researchers to exploit the depth information to recognize hand gesture more robustly. This paper proposes a novel hand gesture recognition system with LMC for hand gesture recognition. Histogram of Oriented Gradient (HOG) feature is extracted from Leap Motion binarized and undistorted sensor images. We feed these features into a multi-class Support Vector Machine (SVM) classifier to recognize performed gesture. The results show that our model is much more accurate than previous work.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 61627808, 91648205, 61602082, and 61672130. This work was also supported in part by the development of science and technology of guangdong province special fund project Grants 2016B090910001 and Open Program of State Key Laboratory of Software Architecture (Item number SKLSAOP1701).

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Authors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Lin Feng, Youchen Du, Shenglan Liu & Jie Wu

  2. Neusoft Co. Ltd., Shenyang, China

    Li Xu

  3. Chinese Academy of Sciences, Beijing, China

    Hong Qiao

Authors
  1. Lin Feng
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  2. Youchen Du
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  3. Shenglan Liu
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  4. Li Xu
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  5. Jie Wu
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  6. Hong Qiao
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Corresponding author

Correspondence to Shenglan Liu .

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Editors and Affiliations

  1. Saga University , Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

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Feng, L., Du, Y., Liu, S., Xu, L., Wu, J., Qiao, H. (2019). Hand Gesture Recognition with Leap Motion. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_4

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