IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks.
Pattern Recognition(2018)
摘要
•A deep-learning based authentication system from inertial signals is proposed.•This framework relies on new transform to make inertial signals rotation invariant.•We propose a robust walking-cycle extraction algorithm with template adaptation.•We combine neural networks with SVM into a new multi-step authentication technique.•An extensive experimental campaign is presented, to validate the proposed system.
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关键词
Biometric gait analysis,Target recognition,Classification methods,Convolutional neural networks,Support vector machines,Inertial sensors,Feature extraction,Signal processing,Accelerometer,Gyroscope
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