Mobile User Classification and Authorization Based on Gesture Usage Recognition

Intelligent mobile devices have been widely serving in almost all aspects of everyday life, spanning from communication, web surfing, entertainment, to daily organizer. A large amount of sensitive and private information is stored on the mobile device, leading to severe data security concern. In this work, we propose a novel mobile user classification and authorization scheme based on the recognition ture. Compared to other security solutions like password, track pattern and finger print etc., our scheme can continuously evolve for better protection during the usage cycle of the mobile device. Besides the regular interactive screen and sensors of modern mobile devices, our scheme does not require any additional hardware supports.