Modeling stress recognition in typical virtual environments

Date

Authors

Sharma, Nandita

Gedeon, Tamas (Tom)

Publisher

IEEE Communications Society

Abstract

Stress is a major problem in our world today motivating objective understanding of how average individuals respond to stress in a typical activities. The main aim for this paper is to determine whether stress can be recognized using individual-independent

Keywords

Keywords: Classification results; Computational model; Consumer devices; Electro-encephalogram (EEG); Physical signal; Physiological signals; Stress classifications; Stress recognition; Electroencephalography; Films; Genetic algorithms; Health care; Neural networks artificial neural networks; EEG; films; genetic algorithms; physical signals; physiological signals; stress recognition; support vector machines

URI

http://hdl.handle.net/1885/66417

Collections

ANU Research Publications

Source

Modeling stress recognition in typical virtual environments

Type

Conference paper

DOI

10.4108/icst.pervasivehealth.2013.252011

Restricted until

2037-12-31

Downloads

File

Description

01_Sharma_Modeling_stress_recognition_in_2013.pdf (1.3 MB)