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Passive infrared sensor-based indoor behavior track movement semantic parsing method

A trajectory motion and passive infrared technology, applied in the field of computer and geographic information systems, can solve the problems of not meeting the huge demand for trajectory behavior semantics, difficulty in analysis and application, etc.

Active Publication Date: 2018-02-02
NANJING NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, PIR sensor data does not have explicit behavioral semantics at all, and cannot meet the huge demand for trajectory behavioral semantics, causing great difficulties in analysis and application. Scientific and effective solutions are urgently needed

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  • Passive infrared sensor-based indoor behavior track movement semantic parsing method
  • Passive infrared sensor-based indoor behavior track movement semantic parsing method
  • Passive infrared sensor-based indoor behavior track movement semantic parsing method

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Embodiment Construction

[0035] The technical solution of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.

[0036] The embodiment of the present invention provides a method for semantic analysis of indoor behavior trajectories based on passive infrared sensors, and the core steps are as follows: figure 1 Shown. First, according to the indoor area plan and the distribution coordinate position of the infrared sensor, combined with the adjacency of the sensor, the sensor is used as a node to construct an undirected and weightless sensor network graph; then, the selected analytical interest point is used as the search center to expand outward The most adjacent nodes in the four directions, up, down, left, and right form a spatial analysis window. From the spatial analysis window, select the selected interest point and the sensor nodes of the four neighborhood directions to form a connected subgraph, and establish a ...

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Abstract

The invention discloses a passive infrared sensor-based indoor behavior track movement semantic parsing method comprising the following steps: (1) a sensor network graph is built according to an indoor plane graph, sensor positions and neighboring relations thereof; (2) a spatial analysis window is defined based on indoor interest points, a five neighborhood model comprising a central interest point and four neighborhood direction sensors is built as a minimum space unit, and neighborhood coding operation is performed; (3) a time analysis window is defined based on interest times relevant to the interest points, and a before-after response sequence is determined according to sensor response time and a sensor response order; (4) based on the five neighborhood model and a neighborhood code,an individual and group movement code is built; (5) a semantic extraction rule is built, a movement code formed by the before-after response sequence is calculated, and final movement semantics is obtained corresponding to the minimal semantic unit. Via the passive infrared sensor-based indoor behavior track movement semantic parsing method, movement semantic relations are integrated in information expression of sensors, and a problem of semantic parsing of mankind movement tracks in a mere cluttered response sequence can be solved.

Description

Technical field [0001] The invention relates to the field of computers and geographic information systems, in particular to the analysis of trajectories and human behavior related to sensor networks. Background technique [0002] With the rapid development of the Internet of Things and mobile emerging technologies, geographic information positioning technology has become increasingly mature, and the collection of spatio-temporal trajectory data has become the norm. Among them, the PIR sensor (passive infrared sensor) is also known as the passive infrared sensor. Thanks to the cost and power consumption advantages of its passive infrared method to detect human infrared information, it has been widely used in indoor monitoring, security location services and other fields. At the same time, because its data acquisition method is easy and can effectively protect personal privacy, it is also often used to analyze the behavior of individuals and groups. The difficulty in analyzing ind...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/20
Inventor 俞肇元罗文袁帅袁林旺冯琳耀朱帅闾国年
Owner NANJING NORMAL UNIVERSITY