Children's Implicit Authentication based on Gesture Feature for Smartphone

Abstract

This paper proposes a gesture feature based implicit authentication scheme for children. 8 kinds of embedded sensors, e.g. accelerator, gyroscope, gravimeter, are used to record the gesture data of users using smartphone, and 30 groups of sophisticated gesture features are extracted from total 156 groups for model training. Finally, based on a real-world dataset including gesture data from 32 adults and 27 children, a series of experiments are performed, and the effectiveness of our proposed solution is testified.