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Optimal Time Segments for Stress Detection

Date

Authors

Sharma, Nandita

Gedeon, Tamas (Tom)

Publisher

Springer

Abstract

Some response signals being modeled for humans over some time segments may not be relevant for analysis and modeling. These signals could contribute to reducing the quality of patterns captured by models, inefficient processing and may impose huge demands

Keywords

Keywords: Analysis and modeling; Hybrid classifier; Physical signal; Physiological signals; Storage resources; Stress modeling; Stress recognition; Time segments; Data mining; Genetic algorithms; Optimization; Pattern recognition; Physiological models; Physiology; genetic algorithms; physical signals; physiological signals; stress modeling; support vector machines; time segments

URI

http://hdl.handle.net/1885/66445

Collections

ANU Research Publications

Source

Lecture Notes in Computer Science (LNCS)

Type

Journal article

DOI

10.1007/978-3-642-39712-7_32

Restricted until

2037-12-31

Downloads

File

Description

01_Sharma_Optimal_Time_Segments_for_2013.pdf (314.06 KB)