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A Method for Single Hand Fist Gesture Input to Enhance Human Computer Interaction

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 8007))

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Abstract

The study of detecting and tracking hand gestures in general has been widely explored, yet the focus on fist gesture in particular has been neglected. Methods for processing fist gesture would allow more natural user experience in human-machine interaction (HMI), however, it requires a deeper understanding of fist kinematics. For the purpose of achieving grasping-moving-rotating activity with single hand (SH-GMR), the extraction of fist rotation is necessary. In this paper, a feature-based Fist Rotation Detector (FRD) is proposed to bring more flexibility to interactions with hand manipulation in the virtual world. By comparing to other candidate methods, edge-based methods are shown to be a proper way to tackle the detection. We find a set of "fist lines" that can be easily extracted and be used steadily to determine the fist rotation. The proposed FRD is described in details as a two-step approach: fist shape segmentation and fist rotation angle retrieving process. A comparison with manually measured ground truth data shows that the method is robust and accurate. A virtual reality application using hand gesture control with the FRD shows that the hand gesture interaction is enhanced by the SH-GMR.

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Author information

Authors and Affiliations

  1. School of Electronic and Computing Systems, University of Cincinnati, USA

    Tao Ma, William Wee & Xuefu Zhou

  2. School of Computing Sciences and Informatics, University of Cincinnati, USA

    Chia Yung Han

Authors
  1. Tao Ma

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  2. William Wee

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  3. Chia Yung Han

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  4. Xuefu Zhou

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Editor information

Editors and Affiliations

  1. The Open University of Japan, 2-11 Wakaba, 261-8586, Mihama-ku, Chiba-shi, Japan

    Masaaki Kurosu

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© 2013 Springer-Verlag Berlin Heidelberg

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Ma, T., Wee, W., Han, C.Y., Zhou, X. (2013). A Method for Single Hand Fist Gesture Input to Enhance Human Computer Interaction. In: Kurosu, M. (eds) Human-Computer Interaction. Interaction Modalities and Techniques. HCI 2013. Lecture Notes in Computer Science, vol 8007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39330-3_31

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