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To improve the efficiency of data analysis in the process of mobile phone users’ interaction, an algorithm on behavior recognition of mobile phone users based on sensor networks is proposed in this paper. The algorithm and model uses the multidimensional receptive-field function and the support vector method to improve the accuracy and efficiency. Simulation result shows that the algorithm and the new model can improve the performance of analysis efficiency and correctness substantially.

Behavior Recognition Algorithm of Mobile Phone Users Based on Sensor Networks