Gait Recognition with Multi-region Size Convolutional Neural Network for Authentication with Wearable Sensors (original) (raw)

Future Data and Security Engineering, 2017

Abstract

As inertial sensors are low-cost, easy-to-use, and can be integrated in wearable devices, they can be used to establish as a new modality for user authentication in the smart environment in which computing systems can recognize persons implicitly by their walking patterns. This motivates our proposal to use multi-region size Convolutional Neural Network to recognize users from their gait patterns recorded from accelerometers and gyroscopes in mobile and wearable devices.

Khac Tuan Nguyen hasn't uploaded this paper.

Let Khac Tuan know you want this paper to be uploaded.

Ask for this paper to be uploaded.