ProfKanev < SB

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*Gesture Biometrics*

*Kamen Kanev, Graduate School of Informatics, Shizuoka University, Japan*



*Short Bio:*
Dr. Kamen Kanev is Full Professor in the Graduate School of Informatics and the Graduate School of Science and Technology, Shizuoka University, Japan. He is also Adjunct Professor in the Faculty of Business and Information Technology, the University of Ontario Institute of Technology, Canada and in the Graduate School of Computer Science, the University of Aizu, Japan. His main research interests are in interactive computer graphics, vision information processing, and user interfaces and surface-based interactions. He is involved in a number of research initiatives, international collaborative efforts, and cooperative research projects with partners from Canada, USA, Italy, Spain, Ireland, Sweden, Bulgaria, Ukraine, and others. He has co-chaired and served on the program committees of many international conferences and workshops and has authored and coauthored more than 100 scientific journal and conference papers and patents. Dr. Kanev is a member of the IEEE, the Association of Computing Machinery (ACM), and the Asia-Pacific Society for Computers in Education (APSCE).


*Abstract:*
Biometric properties of human gestures will be presented and discussed in the course of two 90-minute lectures. First a short introduction to the biometric of gestures will be made in the context of other biometrics methods and systems by drawing parallels and outlining the specific properties of gesture biometrics. Then we will concentrate on methods for collecting gesture data by various physical devices under different environmental conditions. The biometry of surface-based and spatial gestures will be discussed providing a range of examples spanning from handwritten character and signature biometry to sign language gesture and full-body motion analysis. 
Possibilities for biometric identification using handwriting and signature gestures with no physical surface binding will be discussed and illustrations from our current work on this subject will be provided. Specificities of the gesture biometry in respect to Western and Asian languages based on their important differences will be explained in detail. The lectures will conclude with the presentation of some advanced methods for marker and surface code based object tracking as well as camera tracking in digitally enhanced environments.