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Fundamentals of Gesture Production, Recognition, and Analysis

Published:06 May 2017Publication History

ABSTRACT

This course will introduce participants to practical aspects of human gesture production, gesture recognition, and gesture analysis. Notions such as gesture training sets, user-dependent and user-independent training, and variability of gesture articulation will be clarified for the audience in the context of designing gesture user interfaces. Simple and efficient gesture recognition and gesture analysis techniques will be exemplified and accompanied by real-world data analysis with software tools readily available to download and use. An overview of gesture taxonomies and design guidelines will accompany the discussion. Participants will be able to try out gesture analysis on their own computers. It is my hope that this course will effect into a valuable source of information for researchers and practitioners entering the gesture field who are interested in prototyping novel interactive systems controllable by means of human gestures.

References

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  1. Fundamentals of Gesture Production, Recognition, and Analysis

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      • Published in

        cover image ACM Conferences
        CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
        May 2017
        3954 pages
        ISBN:9781450346566
        DOI:10.1145/3027063

        Copyright © 2017 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 May 2017

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        Acceptance Rates

        CHI EA '17 Paper Acceptance Rate1,000of5,000submissions,20%Overall Acceptance Rate6,164of23,696submissions,26%

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