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User scenario recognition method based on mobile terminal noise map

A mobile terminal and noise map technology, applied in the field of user scene recognition of crowd sensing, to achieve the effect of improving visualization

Inactive Publication Date: 2016-12-21
GUANGDONG UNIV OF PETROCHEMICAL TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The problem to be solved by the present invention is: in the noise map application based on crowd sensing, use the data collected by the built-in sensor of the mobile terminal to judge and identify the scene where the user collects decibel data, and carry out scene identification on the measurement data record, so as to infer the user Scenarios for collecting data

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  • User scenario recognition method based on mobile terminal noise map
  • User scenario recognition method based on mobile terminal noise map
  • User scenario recognition method based on mobile terminal noise map

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with accompanying drawing.

[0041] A user scene recognition method based on mobile terminal noise map, comprising the following steps:

[0042] Step 1: Determine and obtain the built-in sensor data of the mobile terminal. According to the application characteristics of crowd sensing noise maps and the different characteristics of various sensors for monitoring the motion status of mobile terminals, four types of sensors are determined and used, linear acceleration sensors, GPS sensors, gyroscope sensors and proximity sensors.

[0043] Step 2: Coarse-grained classification of user collection scenes. The sensitivity of the microphone sensor to environmental changes is high. According to experimental analysis, vibration, friction, and the location of the microphone will have a greater impact on the experimental results. Therefore, the present invention divides the user's collection scene into coarse-gra...

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Abstract

The invention discloses a user scenario recognition method based on a mobile terminal noise map. The method includes: using a mobile smart phone to acquire sensor data, and performing coarse-grain partition on a scenario that a user acquires noise decibel according to the character that voice data is susceptible to friction and vibration; and acquiring a test data set through a semi-manual annotation manner, calculating a sensor scenario determination threshold according to the characters of different sensors, and recording the acquired decibel data in different scenarios and performing scenario classification through a mobile terminal scenario recognition algorithm. According to the method, the acquisition scenario that the user acquires the decibel data is calculated out and speculated, the quality of visual data of the noise map and a user incentive system can be improved through analysis on the data recording quality, and then more people are encouraged to take part in an environment monitoring task of a community and even a city.

Description

technical field [0001] The invention relates to a user scene recognition method based on a noise map of a mobile terminal, and belongs to the technical field of user scene recognition of crowd sensing in a sensor network. Background technique [0002] Crowdsensing uses the power of crowdsourcing to collect and share collected physical environment data more efficiently, and based on this, develop more innovative services and applications for environmental monitoring and smart cities. It has three characteristics: 1) Low cost, citizens who volunteer to participate act as monitors, saving human resources and equipment maintenance costs by contributing environmental data collected by mobile phones; 2) Map updates are fast, and citizens' random dynamic monitoring speeds up data updates. It has better timeliness; 3) data sharing, participating users are both contributors to noise data and so on. When a large number of citizens participate in the environmental and social monitorin...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/29G06F18/24
Inventor 舒磊霍志强周长兵陈媛芳
Owner GUANGDONG UNIV OF PETROCHEMICAL TECH
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