Supervised self feedback-based context awareness system, working method and application thereof

A technology of situational awareness and working method, applied in the field of situational awareness, it can solve the problems of far away, insufficient amount of calculation data, and too many times of user feedback, so as to achieve the effect of improving accuracy.

Active Publication Date: 2016-06-08
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, too frequent manual intervention requirements will seriously affect the user experience, so the number of user feedback cannot be too much
In this way, constrained by the insuffi...

Method used

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  • Supervised self feedback-based context awareness system, working method and application thereof
  • Supervised self feedback-based context awareness system, working method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Such as Figure 1-2 shown.

[0048] A situation awareness system based on supervised self-feedback, comprising a situation information collection module, a situation information processing module, a situation information application module and a user module connected in sequence; the user module is also connected with the situation information processing module.

[0049] The scene information collection module is used to collect original scene information in different ways from multiple information sources, and the original scene information refers to raw data collected by various sensors or networks; the scene information processing module is used to process the original The context information is processed to extract advanced context information that can be directly used by the context information application module; the context information application module uses the advanced context information to generate adaptive operations to provide users with appropriate servic...

Embodiment 2

[0051] A situation awareness system based on supervised self-feedback as described in Embodiment 1, the difference is that the situation information processing module includes a situation information modeling unit connected in sequence, a credibility management unit, inconsistency detection and elimination unit and context information reasoning unit; the inconsistency detection and elimination unit is also bidirectionally connected with the credibility management unit.

[0052] The situational information modeling unit is used to model the original situational information to standardize the description of the situational information; the credibility management unit uses the received feedback information to judge the correctness of the multi-source situational information, and then evaluates Corresponding to the credibility of the information source, it is dynamically calculated and stored (the credibility of a certain information source = the number of times the correct situati...

Embodiment 3

[0055] A working method of a situation awareness system based on supervised self-feedback as described in embodiment 1-2, comprising steps as follows:

[0056] (1) Scenario information collection

[0057] The context information collection module periodically collects original context information through physical sensors, virtual sensors and logical sensors and sends the original context information to the context information modeling unit; the original context information is multi-source context information;

[0058] (2) Situation information modeling

[0059] The context information modeling unit models the original context information to standardize the description of the context information;

[0060] (3) Credibility management

[0061] The credibility management unit uses the received feedback information to judge the correctness of the multi-source context information, then evaluates the credibility of the corresponding information source, dynamically calculates and sto...

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Abstract

The invention relates to a supervised self feedback-based context awareness system, a working method and application thereof. The context awareness system includes a context information acquisition module, a context information processing module, a context information application module and a user module which are connected with one another successively, wherein the user module is connected with the context information processing module. According to the supervised self feedback-based context awareness system of the invention, a dynamic context information credibility evaluation mechanism is added into the context awareness system, so that context information inconsistency elimination is performed by using credibility; discovering able people and putting them at suitable posts embodies correct cognition for the credibility of hold context information; and the context awareness system can fuse multi-source information and make correct decisions so as to provide prerequisites for appropriate services.

Description

technical field [0001] The invention relates to a situation perception system based on supervised self-feedback and its working method and application, belonging to the technical field of situation perception. Background technique [0002] When people interact with others or the surrounding environment, they often use situational information such as gestures, eyes, situations, environmental conditions, etc., and make inferences based on this to make appropriate responses; in contrast, traditional computers The system seldom makes effective use of situational information and responds accordingly, but mainly performs corresponding operations passively based on clear instructions from users. Situational awareness technology aims to simulate human perception through sensors and other equipment, recognize and use the information contained in time, place, person, and environment, and make judgments after reasoning and fusion of the collected original situational information. The c...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/251
Inventor 许宏吉季名扬刘琚党娟许征征房海腾
Owner SHANDONG UNIV
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