Behavior Recognition Algorithm of Mobile Phone Users Based on Sensor Networks

Authors

  • Yan Chen Institute of Electrical and Information Technology, Suzhou Institute of Trade &Commerce

DOI:

https://doi.org/10.3991/ijoe.v12i11.6226

Keywords:

behavior recognition, mobile phone users, multidimensional receptive-field function, sensor networks

Abstract


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.

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Published

2016-11-24

How to Cite

Chen, Y. (2016). Behavior Recognition Algorithm of Mobile Phone Users Based on Sensor Networks. International Journal of Online and Biomedical Engineering (iJOE), 12(11), pp. 72–75. https://doi.org/10.3991/ijoe.v12i11.6226

Issue

Section

Short Papers