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Smart home management system and method based on real-time user behavior analysis

A behavioral analysis, real-time user technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of the decline in the accuracy of smart home control and the inability to provide real-time intelligent control

Pending Publication Date: 2021-09-10
湖北简图网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Although it collects user behavior data, conducts user behavior analysis, and then controls the operation of the smart home to improve the intelligence of the smart home, but its user behavior analysis is based on the user's historical behavior data. It is impossible to provide real-time smarter control for the current user's behavior, and because the current operating status and environmental status of smart home devices are not static, the accuracy of smart home control decreases

Method used

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  • Smart home management system and method based on real-time user behavior analysis
  • Smart home management system and method based on real-time user behavior analysis
  • Smart home management system and method based on real-time user behavior analysis

Examples

Experimental program
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Embodiment 1

[0028] Such as figure 1 shown

[0029] A smart home management system based on real-time user behavior analysis, the system includes: a panoramic image acquisition device, a sensor system, a user's current behavior analysis device, a user behavior prediction device and a control device; the panoramic image acquisition device is configured to acquire the current A panoramic image in the scene; the sensor system is configured to acquire environmental data in the current scene, and the environmental data at least includes: temperature data and humidity data; the user’s current behavior analysis device is configured to acquire the panoramic image based on , analyzing and judging the behavior of the current user to obtain the current behavior analysis result; the user behavior prediction device is configured to predict the user's behavior based on the obtained current behavior analysis result and historical behavior data, and obtain the user's predicted behavior result; The contro...

Embodiment 2

[0032] On the basis of the previous embodiment, the method for the human body target detection unit to screen out human body parts from the panoramic image includes: pre-segmenting the panoramic image to form several segmented images, and using the corresponding colors of all pixels in each segmented image The average value of the color vectors of all pixels in each segmented image is represented to obtain the initial overlay map; then, with the segmented image as a node, the adjacency overlay and global overlay are performed sequentially according to the overlay criterion, and in the process of adjacency overlay and global overlay, the The color of all pixels in each segmented image is represented by the average value of the color vectors of all pixels in each corresponding segmented image, and similar segmented images are sequentially superimposed to form a new segmented image, so as to sequentially construct an adjacency superposition map and a global superposition Figure; C...

Embodiment 3

[0035] On the basis of the previous embodiment, the process of adjacent superposition is expressed by the following formula: where L represents the initial overlay image, m is the number of segmented images, and s k is the segmented image, α 1 is the average value of the color vectors of all pixels in the segmented image, α 2 is the adjustment coefficient, and the value range is: 0.25~1; Y is the adjacency overlay graph.

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Abstract

The invention belongs to the technical field of smart home, and particularly relates to a smart home management system and method based on real-time user behavior analysis. The system comprises a panoramic image acquisition device, a sensor system, a user current behavior analysis device, a user behavior prediction device and a control device; the panoramic image acquisition device is configured to be used for acquiring a panoramic image in a current scene. The behavior of the user is predicted by detecting and judging the posture of the user in real time and combining the environment data and the historical behavior data, so that more intelligent smart home control is realized, and the real-time performance and the intelligent degree of the smart home control are improved; meanwhile, when posture recognition is carried out, recognition is not carried out on the whole image, instead, after the human body area is extracted, key parts of posture recognition are screened out to be respectively subjected to image recognition, and matching query is carried out on a final result, so that posture recognition is completed, the posture recognition efficiency is improved, and the recognition accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of smart home, and in particular relates to a smart home management system and method based on real-time user behavior analysis. Background technique [0002] Smart home is based on the residence as a platform, using integrated wiring technology, network communication technology, security technology, automatic control technology, audio and video technology to integrate the facilities related to home life, build an efficient management system for residential facilities and family schedules, and improve Home safety, convenience, comfort, artistry, and to achieve an environmentally friendly and energy-saving living environment. [0003] At present, people have put forward higher requirements for smart homes, usually based on residential platforms, with construction, network communications, information appliances, and equipment automation, integrating systems, structures, services, and management. It is efficien...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06F18/24Y02P90/02
Inventor 李卫东
Owner 湖北简图网络科技有限公司
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