A method for indoor daily activity recognition in multi-occupant scenarios

An activity recognition, occupant technology, applied in character and pattern recognition, instrumentation, computing, etc., can solve problems such as inability to recognize daily activities

Active Publication Date: 2020-06-05
UNIV OF SCI & TECH BEIJING
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The technical problem to be solved by the present invention is to provide a method for identifying indoor daily activities in a multi-occupant scene, so as to solve the problem in the prior art that the daily activities in a multi-occupant scene cannot be recognized

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for indoor daily activity recognition in multi-occupant scenarios
  • A method for indoor daily activity recognition in multi-occupant scenarios
  • A method for indoor daily activity recognition in multi-occupant scenarios

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0047] Aiming at the existing problem of not being able to identify daily activities in a multi-occupant scene, the present invention provides an indoor daily activity recognition method in a multi-occupant scene.

[0048] Such as figure 1 As shown, the indoor daily activity recognition method in the multi-occupant scene provided by the embodiment of the present invention includes:

[0049]S101. Construct an ontology model of daily activities (Activity in Daily Life, ADL), sensors, and environmental context, and add user portraits and activity timing relationships into the constructed ontology model, wherein ADL represents daily activities, and the environmental context includes : one or more of activity appliance, activity executor, activity location, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a method for recognizing indoor daily activities in a scene of multiple occupants, capable of identifying daily activities in a scene of multiple occupants. The method includes: constructing an ontology model of ADL, sensors, and environmental context, and adding user portraits and activity timing relationships into the constructed ontology model, wherein ADL represents daily activities; according to the constructed ontology model, establishing ADL rules, and Assign weights to each ADL rule; obtain the daily activity data collected by the sensor, based on the data collected by the sensor, the constructed ontology model and the established ADL rules, based on the Markov logic network, the reasoning and analysis of daily activities in multi-occupant scenarios can be realized. identify. The invention is suitable for recognizing the daily activities of indoor occupants.

Description

technical field [0001] The present invention relates to the field of Internet of Things and computer technologies, in particular to a method for recognizing indoor daily activities in a scene of multiple occupants. Background technique [0002] With the rapid development of the Internet of Things, especially in the application of the Internet of Things related to human activities, the importance of indoor daily activity recognition is becoming more and more significant. For example, in an intelligent service system, automatic recognition of indoor daily activities can help the system better understand the behavioral intentions, living habits, health status, and abnormal activities of the target population, so as to provide timely personalized services. [0003] The purpose of indoor daily activity recognition is to use the characteristics of sensors such as small space limitation, convenient installation, wide range of sensing content, and good privacy, and adopt a suitable ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/36G06V20/52
Inventor 宁焕生宋宇璐
Owner UNIV OF SCI & TECH BEIJING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap