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http://dx.doi.org/10.13089/JKIISC.2017.27.6.1405

A Study on Estimation of Gait Acceleration Signal Using Gait Video Signal in Wearable Device  

Lee, Duhyeong (Graduate School for Information Security, Korea University)
Choi, Wonsuk (Graduate School for Information Security, Korea University)
Lee, Dong Hoon (Graduate School for Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.27, no.6, 2017 , pp. 1405-1417 More about this Journal
Abstract
Researches that apply the acceleration signal due to user's gait measured at the wearable device to the authentication technology are being introduced recently. The gait acceleration signal based authentication technologies introduced so far have assumed that an attacker can obtain a user's gait acceleration signal only by attaching accelerometer directly to user's body. And the practical attack method for gait acceleration signal based authentication technology is mimic attack and it uses a person whose physical condition is similar to the victim or identifies the gait characteristics through the video of the gait of the victim. However, mimic attack is not effective and attack success rate is also very low, so it is not considered a serious threat. In this paper, we propose Video Gait attack as a new attack method for gait acceleration signal based authentication technology. It is possible to know the position of the wearable device from the user's gait video signal and generate a signal that is very similar to the accelerometer's signal using dynamic equation. We compare the user's gait acceleration signal and the signal that is calculated from video of user's gait and dynamic equation with experiment data collected from eight subjects.
Keywords
Biometric Authentication; Gait signal; Spoofing Attack;
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