Handset sensor-based group behavior analysis method

A behavior analysis and sensor technology, applied in the input/output process of instruments, computer parts, and data processing, etc., can solve the problems of inability to better discover Web log knowledge, low search accuracy, and limited coverage. The effect of reducing invalid information components, optimizing feature space, and being easy to store

Inactive Publication Date: 2017-07-11
JIANGNAN UNIV
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Problems solved by technology

The prior art user group behavior analysis method mainly analyzes network group behavior by obtaining smart terminal logs. However, obtaining smart terminal logs requires higher authority, and at the same time, when processing massive dat...

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  • Handset sensor-based group behavior analysis method
  • Handset sensor-based group behavior analysis method
  • Handset sensor-based group behavior analysis method

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Embodiment Construction

[0041] specific implementation plan

[0042]Embodiments of the present invention are further described below in conjunction with accompanying drawings:

[0043] figure 1 The embodiment of the present invention provides a flow chart of a group behavior analysis method based on mobile phone sensors. The mobile phone sensor-based group behavior analysis method of the present invention includes the following steps:

[0044] Step 1: Use the built-in sensor of the mobile phone to obtain acceleration and touch screen sensing signals. The sampling frequency of the acceleration sensor is set to 50Hz, and the touch sensor collects at a timing of 0.02s, keeping the same frequency as the acceleration sensor. When the touch screen of the mobile phone is under no touch gesture, the X and Y axes of the touch screen are stored as 0.

[0045] Step 2: The collected raw data includes both gesture information and noise information. Therefore, before extracting features, the raw data is preproce...

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Abstract

The present invention relates to a handset sensor-based group behavior analysis method, and belongs to the technical field of computer network applications. According to the technical scheme of the invention, a handset acceleration signal and a touch screen sensor signal are adopted as a data source for behavior analysis. After that, original data are subjected to noise treatment through a sliding average filter. The features of pre-processed data are extracted in the time domain and in the frequency domain. In this way, a dimension reduction method combined with the mutual information and the linear discriminant analysis is constructed for the dimension reduction treatment of extracted features. After the dimension reduction treatment, corresponding feature vectors are input into a behavior classification model, and then a user behavior recognition result is obtained. Furthermore, the access time and the access frequency are selected as group behavior attributes. Finally, based on the affinity propagation algorithm, the data of user group behaviors are clustered, so that the group behavior analysis is completed.

Description

technical field [0001] The invention relates to the technical field of behavior recognition and knowledge mining, in particular to a group behavior method based on mobile phone sensors. Background technique [0002] With the rapid development and wide application of mobile phone networks, the number of mobile phone network users continues to increase, and mobile networks have become the most important media for people to share resources and exchange information. The prosperity of mobile phone networks has led to explosive growth of user data, and these massive data contain huge value. The analysis of network group behavior can not only provide users with highly adaptable personalized information services, but also maintain cyberspace security in a wider range, which has certain research value. Network group behavior is a kind of behavior habit shown by most or all network users in network activities. In network activities, all network users are regarded as a whole, and the...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F3/0346G06F17/30
CPCG06F3/0346G06F16/9535G06F18/23213
Inventor 刘乐乐周治平张威李昕咛
Owner JIANGNAN UNIV
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