Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:Dynamic Hand Gesture Recognition Using the Skeleton of the Hand | EURASIP Journal on Applied Signal Processing 2005 13 2101-2109 2005 Hindawi Publishing Corporation Dynamic Hand Gesture Recognition Using the Skeleton of the Hand Bogdan Ionescu University Politehnica LEU Complex-Room B135A 13 Liliu Maniu Boulevard Bucharest Romania Email bionescu@ Didier Coquin Laboratoire d Informatique Systemes Traitement de l Information etdela Connaissance LISTIC Universite de Savoie 74016 Annecy Cedex France Email didier. coquin@ Patrick Lambert Laboratoire d Informatique Systemes Traitement de l Information etdela Connaissance LISTIC Universite de Savoie 74016 Annecy Cedex France Email Vasile Buzuloiu University Politehnica LEU Complex-Room B135A 13 Liliu Maniu Boulevard Bucharest Romania Email buzuloiu@ Received 10 February 2004 Revised 2 December 2004 This paper discusses the use of the computer vision in the interpretation of human gestures. Hand gestures would be an intuitive and ideal way of exchanging information with other people in a virtual space guiding some robots to perform certain tasks in a hostile environment or interacting with computers. Hand gestures can be divided into two main categories static gestures and dynamic gestures. In this paper a novel dynamic hand gesture recognition technique is proposed. It is based on the 2D skeleton representation of the hand. For each gesture the hand skeletons of each posture are superposed providing a single image which is the dynamic signature of the gesture. The recognition is performed by comparing this signature with the ones from a gesture alphabet using Baddeley s distance as a measure of dissimilarities between model parameters. Keywords and phrases hand gesture recognition skeleton orientation histogram Baddeley distance. 1. INTRODUCTION The goal of the dynamic hand gesture recognition technique proposed in this paper is to offer a method of guiding robots from a distance using hand gestures. It is .
