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Method and system for life mode analysis based on mobile device sensor data

A technology of mobile equipment and life mode, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of poor flexibility, sensor devices cannot process data, etc., and achieve simple operation, intelligent transaction reminder function and Automated, good portability effects

Inactive Publication Date: 2013-07-24
SUN YAT SEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Requiring users to carry additional electronic devices or wear wearable devices at any time, there is also a certain hardware cost; and the portable sensor device itself cannot process data, and the data needs to be sent to the computer for processing by wireless transmission, which is less flexible

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  • Method and system for life mode analysis based on mobile device sensor data
  • Method and system for life mode analysis based on mobile device sensor data
  • Method and system for life mode analysis based on mobile device sensor data

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0051] There are usually various sensors built into mobile devices, which record a large amount of raw data, from which more valuable information needs to be discovered. At present, a large number of users are accustomed to carrying their smartphones or tablets with them every day, and their sensor data can well record the user's living conditions and behavior patterns. In the present invention, starting from the raw data collected by each sensor in the mobile devi...

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Abstract

The invention discloses a method and a system for life mode analysis based on mobile device sensor data. The method comprises the steps: initial data are collected from each sensor of a mobile device; data preprocessing is conducted on the initial data according to data characteristics and energy consumption characteristics of each sensor and a data sequence is obtained; a resident point sequence is obtained according to a resident point detection mode; cluster analysis is conducted on the resident point sequence so that a site historical sequence is obtained; interest point search is conducted on each piece of data in the site historical sequence and site history is marked; and whether identity of a user is known or not is judged, if the answer is negative, the identity of the user is deduced according to interest point marks. The method and the system for the life mode analysis based on the mobile device sensor data reduce data mining and analyzing cost, improve using flexibility, have transportability and are convenient to use and capable of improving experience of the user.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a method and system for analyzing life patterns based on sensor data of mobile devices. Background technique [0002] At present, various sensors are usually built into mobile devices, including Global Positioning System (Global Positioning System, GPS), accelerometer, gyroscope, microphone, distance sensor, etc. Users can obtain the information recorded by these sensors through the interface provided by the system. Raw data. At present, there is an algorithm for performing data mining on a user's single-day data based on GPS data, thereby discovering where the user stays. In terms of other sensor data analysis, there are currently methods for inferring user behavior based on data acquired by wearable sensor devices. In terms of data mining, there are currently density-based clustering analysis methods such as OPTICS and DBSCAN; in terms of point-of-interest search, there a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCY02D10/00
Inventor 罗笑南徐驰林格伍楷舜
Owner SUN YAT SEN UNIV
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