Robust Features of Finger Regions Based Hand Gesture Recognition Using Kinect Sensor

摘要：

　　Thanks to the emergence of commercial depth cameras,e.g.,Kinect,hand gesture recognition has attracted great attention in recent years.In this context,we present a novel Kinect based hand gesture recognition system which focuses on the features of finger regions.A hand cropping approach is proposed to extract the useful finger regions from a noisy hand image including palm,wrist and arm obtained by Kinect.Furthermore,an original dissimilarity metric,called Balanced Finger Earth Movers Distance(BFEMD),is used to classify hand gestures along with the hierarchical recognition strategy.Finally,the 12 popular gestures recognition experiments have been done to illustrate the effectiveness of the proposed gesture recognition system,and the experimental results show that the proposed system can achieve high recognition accuracy at a high speed.

关键词： Balanced Finger Earth Movers Distance Hierarchical recognition Human computer interaction Hand gesture recognition Kinect

作者: Fengyan Wang Zengfu Wang

作者单位: Department of Automation,University of Science and Technology of China,Hefei 230026,China Department of Automation,University of Science and Technology of China,Hefei 230026,China;Institute

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 53-64

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）