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A novel gait authentication method is developed, in this research work, based on multi-acceleration features, vertical acceleration signal is collected by a waist-mounted MEMS accelerometer and represented as a seven-feature-tuple extracted by wavelet transform. A multi-criterion model is designed to match the feature sequences using dynamic time wrapping algorithm. The proposed method is verified...
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