걸음걸이 비디오를 활용한 웨어러블 기기 사용자 걸음걸이 가속도 신호 추정
A Study on Estimation of Gait Acceleration Signal Using Gait Video Signal in Wearable Device
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초록
웨어러블 기기에서 측정되는 사용자의 걸음걸이로 인한 가속도 신호를 인증 기술에 용하는 연구결과들이 최근 에 발표되고 있다. 재까지 발표된 걸음걸이 가속도 신호 기반의 인증 기술들은 공격자가 사용자의 몸에 직 가속 도 센서를 부착하는 방식으로만 사용자의 걸음걸이 가속도 신호를 얻을 수 있다고 가정해왔다. 그리고 걸음걸이 가 속도 신호 기반의 인증 기술에 한 실질인 공격방법으로는 걸음걸이 모방공격이 존재하고, 공격상과 신체조건 이 유사한 사람을 이용하거나 공격상의 걸음걸이를 촬한 비디오를 통해서 걸음걸이 특징을 악하는 방법을 사 용해왔다. 그러나 모방공격은 효과이지 않을 뿐 아니라, 공격 성공률 한 매우 낮기 때문에 심각한 으로 받 아들여지지 않고 있다. 본 논문에서는 걸음걸이 가속도 신호 기반의 인증 기술에 한 새로운 공격 방법으로 Video Gait 공격을 제안한다. 사용자 걸음걸이 비디오 신호로부터 웨어러블 기기의 치를 확인하고, 치 값을 동역학 방정식에 입하여 사용자 걸음걸이 가속도 신호와 매우 유사한 신호를 생성할 수 있다. 8명의 피 실험자로부터 수 집한 걸음걸이 비디오 와 가속도 신호를 이용하여 유사도를 비교한 결과를 보여다.
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.
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