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 language | English |
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Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Engage with CHI |
Publisher | ACM Press |
Pages | 1-6 |
Number of pages | 6 |
Volume | 2018-April |
ISBN (Electronic) | 9781450356206, 9781450356213 |
ISBN (Print) | 9781450356213 |
DOIs | |
Publication status | Published - 21 Apr 2018 |
Keywords
- Gesture recognition
- Gesture recognizer
- Template-based recognition