Comparing Some Distances in Template-based 2D Gesture Recognition

Jean Vanderdonckt, Bruno Dumas, Mauro Cherubini

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

Euclidean distance is traditionally used to compare a gesture candidate against gesture templates in two-dimensional gesture recognizers. This paper compares two distances borrowed from other domains of computer science used in template-based two-dimensional gesture recognizers: the Mahalanobis distance, typically used in computer vision and statistics, and the Jaro-Winckler distance, typically used in information retrieval and pattern recognition. Although the geometric interpretation of these distances is less straightforward for designers, there is a significant impact of the Mahalanobis distance on recognition rate, but not for the Jaro-Winkler one.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherACM Press
Pages1-6
Number of pages6
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
ISBN (Print)9781450356213
DOIs
Publication statusPublished - 21 Apr 2018

Keywords

  • Gesture recognition
  • Gesture recognizer
  • Template-based recognition

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  • Cite this

    Vanderdonckt, J., Dumas, B., & Cherubini, M. (2018). Comparing Some Distances in Template-based 2D Gesture Recognition. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April, pp. 1-6). [LBW121] ACM Press. https://doi.org/10.1145/3170427.3188452