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Gesture Recognition

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Computer Vision

Synonyms

Human motion classification

Definition

Vision-based gesture recognition is the process of recognizing meaningful human movements from image sequences that contain information useful in human-human interaction or human-computer interaction. This is distinguished from other forms of gesture recognition based on input from a computer mouse, pen or stylus, sensor-based gloves, touch screens, etc.

Background

Automatic image-based gesture recognition is an area of computer vision motivated by a range of application areas, including the analysis of human-human communication, sign language interpretation, human-robot interaction, multimodal human-computer interaction, and gaming. Human gesture has a long history of interdisciplinary study by psychologists, linguists, anthropologists, and others in the context of human communication [9], exploring the role of gesture in face-to-face conversation, universal and cultural aspects of gesture, the influence of gesture in human evolution...

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References

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Author information

Authors and Affiliations

  1. Computer Science Department and Media Arts and Technology Graduate Program, University of California, Santa Barbara, CA, USA

    Matthew Turk

Authors
  1. Matthew Turk
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Turk, M. (2014). Gesture Recognition. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_376

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