Identification of Spatial Dynamic Patterns of Behavior Using Weighted Voronoi Diagrams

被引：2

作者：

Lorena Avendano-Garrido, Martha ^{[1
]}

Alberto Hernandez-Linares, Carlos ^{[1
]}

Zarahi Medina-Perez, Brenda ^{[1
]}

Hernandez, Varsovia ^{[2
]}

Toledo, Porfirio ^{[1
]}

Leon, Alejandro ^{[2
]}

机构：

[1] Univ Veracruzana, Fac Matemat, Xalapa, Veracruz, Mexico

[2] Univ Veracruzana, Ctr Invest Biomed, Xalapa, Veracruz, Mexico

来源：

PATTERN RECOGNITION, MCPR 2024 | 2024年 / 14755卷

关键词：

Weighted Voronoi diagrams; Behavior Analysis; Spatial Dynamics Behavior Analysis;

D O I：

10.1007/978-3-031-62836-8_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study proposes an innovative approach to analyze spatial patterns of behavior by integrating information in weighted Voronoi diagrams. The objective of the research is to analyze the temporal distribution of an experimental subject in different regions of a given space, with the aim of identifying significant areas of interest. The methodology employed involves dividing the experimental space, determining representative points, and assigning weights based on the cumulative time the subject spends in each region. This process results in a set of generator points along with their respective weights, thus defining the Voronoi diagram. The study also presents a detailed and advanced perspective for understanding spatial behavioral patterns in experimental contexts.

引用

页码：3 / 12

页数：10

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