RNN 알고리즘을 이용한 보행분석 기반 개인 인증방법 구현

초록

Many types of individual recognition techniques have been developed such as the use of a password, ID card, fingerprint recognition, vein recognition, and iris recognition. In the case of a password or ID card, while it is simple to implement, it can be easily imitated or captured and neutralized. In the case of fingerprint recognition, vein recognition, and iris recognition, specific equipment and user registration procedures are required in the corresponding equipment. In this paper, we study the accelerometer sensor data of android devices using Recurrent Neural Network (RNN) and analyze individual recognition through arm motion analysis during walking.

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