Title :
A skeleton and gesture based user authentication system
Author :
Hsueh-Fan Lee;Yi-Shu Lu;Jiun-Long Huang;Chih-Lin Hu
Author_Institution :
Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Abstract :
In this paper, we propose a skeleton and gesture-based user authentication system using depth cameras. When a user would like to register, our system will capture a user´s skeleton and gesture information and store it into the database. When authenticating a user, our system will capture the user´s skeleton and gesture information and compare it with the data stored in the database. Experimental results show that the combined use of skeleton and behavioral information is able to improve the accuracy of user authentication.
Keywords :
"Skeleton","Authentication","Databases","Iris recognition","Cameras","Accuracy"
Conference_Titel :
Ubi-Media Computing (UMEDIA), 2015 8th International Conference on
DOI :
10.1109/UMEDIA.2015.7297464