Authors
Zhou Ren, Junsong Yuan, Zhengyou Zhang
Publication date
2011/11/28
Book
Proceedings of the 19th ACM international conference on Multimedia
Pages
1093-1096
Description
The recently developed depth sensors, e.g., the Kinect sensor, have provided new opportunities for human-computer interaction (HCI). Although great progress has been made by leveraging the Kinect sensor, e.g. in human body tracking and body gesture recognition, robust hand gesture recognition remains an open problem. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. It is thus a very challenging problem to recognize hand gestures. This paper focuses on building a robust hand gesture recognition system using the Kinect sensor. To handle the noisy hand shape obtained from the Kinect sensor, we propose a novel distance metric for hand dissimilarity measure, called Finger-Earth Mover's Distance (FEMD). As it only matches fingers while not the whole hand shape, it can better distinguish hand gestures of …
Total citations
Scholar articles
Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera
Z Ren, J Yuan, Z Zhang - Proceedings of the 19th ACM international conference …, 2011