iWalk: Let Your Smartphone Remember You

The advance of science and technology brings not only the convenience to people, but also the issues of the property and privacy security. Therefore, the identity recognition technology is particularly important. Walking is one of the most common daily activity of a person, but everyone walks differently. So we designed a new system based on the data of walking called iWalk to identify the user's identity. The most challenging task is to choose the features of walking that can represent each person's identity. IWalk collects data based on accelerometers built into Commercial Off-The-Shelf (COTS) smartphones and uses the Human Activity Recognition (HAR) method to determine whether the current user is the owner of the phone. The data we used for training and evaluation were collected by 16 volunteers from real activities. The results of our experiments show that iWalk can achieve 97. 80 % true positive (TP) rate in judging the identity of the user's segments. Through the judgment of segments, it recognizes the user identity in the final.