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Indoor daily activity recognition method in multi-resident scene

A technology for activity recognition and occupants, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as inability to recognize daily activities

Active Publication Date: 2018-10-16
UNIV OF SCI & TECH BEIJING
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  • 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

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  • Indoor daily activity recognition method in multi-resident scene
  • Indoor daily activity recognition method in multi-resident scene
  • Indoor daily activity recognition method in multi-resident scene

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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, ...

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Abstract

The invention provides an indoor daily activity recognition method in a multi-resident scene. Daily activities in the multi-resident scene can be recognized. The method comprises the steps that a bodymodel of an ADL, a sensor and an environment context is constructed, and user portrayals and an activity sequential relationship are added into the constructed body model, wherein the ADL representsthe daily activities; according to the constructed body model, ADL rules are set up, and a weight value is given to each ADL rule; daily activity data collected by the sensor is acquired, and the daily activities are deduced and recognized according to the daily activity data collected by the sensor, the data collected by the sensor, the constructed body model and the set-up ADL rules based on a Markov logic network. The method is suitable for recognizing the daily activities indoor residents.

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

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/36G06V20/52
Inventor 宁焕生宋宇璐
Owner UNIV OF SCI & TECH BEIJING
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