Multimedia for User Identification

Multimedia for User Identification
Multimedia has been extensively used to identify users based on behavioral or physiological characteristics such as fingerprint, hand signature, keystroke dynamics, gesture, voice, iris, gait, or face image are gradually gaining ground. We will employ media such as haptics, RFID and sensors to extract biometric features such as direction, pressure, force, angle, speed, and position of the user’s interactions in physical space or in a virtual world. We will investigate algorithms including first order statistic, dynamic time warping, spectral analysis, Hidden Markov Model, stylistic navigation, multi-biometric cryptosystems, coupled spectral regression, descriptor-based Hough transform, and dynamic probabilistic models. We will work with Saudi Ministries and industries that are concerned with the area of biometrics to deploy our prototypes and ideas.
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