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Analyzing touchless hand gestures performance

Published: 11 November 2013 Publication History

Abstract

As part of a Natural User Interface we can use human body gestures, although they must be evaluated to get better results. We can evaluate them using a quantitative model. For this purpose, we begin the gesture analysis of touchless hand gestures with this work. Our analysis is based on significant gesture attributes. From the large number of possible attributes we select the trajectory. We propose to describe the trajectory by using distance units and directions. We then evaluate our proposal with two gesture data sets. We found that the proposal can be used to describe and quantify gesture trajectories. Moreover, we found that well-defined changes of directions (or corners) influence the speed for performing a gesture, thus users need more time to execute the gesture. The proposed method allows a trajectory to be quantified in a simple manner.

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cover image ACM Other conferences
ChileCHI '13: Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
November 2013
122 pages
ISBN:9781450322003
DOI:10.1145/2535597
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 11 November 2013

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Author Tags

  1. gestures
  2. natural user interfaces
  3. quantitative evaluation model

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ChileCHI '13
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ChileCHI '13 Paper Acceptance Rate 14 of 41 submissions, 34%;
Overall Acceptance Rate 14 of 41 submissions, 34%

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