Owner Real-time Identification Scheme Based on Cycle Variation Law of Phone's Accelerometer
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A real-time identification scheme based on cycle variation law of android phone's accelerometer is proposed in this article to overcome the drawbacks of the current identification system such as simplicity, lag-behind in real-time responsiveness and low intelligence level. The implementation of this scheme includes three stages, namely owner feature data collection, feature analysis and identity recognition, where a feature extraction algorithm based on a kind of clustering idea is used for the identification. Various tests have demonstrated a high practicality of this scheme in real life usage due to a high accuracy result as much as 90% achieved in the tests.
Smart phones, Gait, Identification, Accelerometer.