CircGR: Interactive Multi-Touch Gesture Recognition using Circular Measurements

被引：3
|
作者：
Balcazar, Ruben [1 ]
Ortega, Francisco R. [1 ]
Tarre, Katherine [1 ]
Barreto, Armando [1 ]
Weiss, Mark [1 ]
Rishe, Naphtali D. [1 ]
机构：
[1] Florida Int Univ, Sch Comp & Informat Sci, Miami, FL 33199 USA
来源：
PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON INTERACTIVE SURFACES AND SPACES (ACM ISS 2017) | 2017年
基金：
美国国家科学基金会;
关键词：
multi-touch; gesture recognition; template matching;
D O I：
10.1145/3132272.3134139
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
CircGR is a multi-touch non-symbolic gesture recognition algorithm, which utilizes circular statistic measures to implement linearithmic (O n log n)) template-based matching. CircGR provides a solution to gesture designers, which allows for building complex multi-touch gestures with high-confidence accuracy. We demonstrated the algorithm and described a user study with 60 subjects and over 12,000 gestures collected for an original gesture set of 36. The accuracy is over 99% with the Matthews correlation coefficient of 0.95. In addition, early gesture detection was successful in CircGR as well.
引用
收藏
页码：12 / 21
页数：10
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