Paper Info
Title
Multimodal behavioral analysis for non-invasive stress detection
Abstract
This study presents and approach to measure the levels of acute stress in humans by analysing their behavioral patterns when interacting with technological devices. We study the effects of stress on eight behavioral, physical and cognitive features. The data was collected with the participation of 19 users in different phases, with different levels of stress induced. A non-parametric statistical hypothesis test is used to determine which features show statistically significant differences, for each user, when under stress. It is shown that the features more related to stress are the acceleration and the mean and maximum intensity of the touch. It is also shown that each user is affected by stress in a specific way. Moreover, all the process of estimating stress is undertaken in a non-invasive way. This work constitutes the foundation of a context layer for a virtual environment for conflict resolution. The main objective is to overcome some of the main drawbacks of communicating online, namely the lack of contextual information such as body language or gestures.
Year
DOI
Venue
2012
10.1016/j.eswa.2012.05.065
Expert Syst. Appl.
Keywords
Field
DocType
different level,different phase,body language,main drawback,conflict resolution,study present,multimodal behavioral analysis,cognitive feature,non-invasive stress detection,main objective,behavioral pattern,acute stress
Behavioral pattern,Virtual machine,Computer science,Gesture,Conflict resolution,Cognitive psychology,Body language,Context awareness,Artificial intelligence,Cognition,Statistical hypothesis testing,Machine learning
Journal
Volume
Issue
ISSN
39
18
0957-4174
Citations 
PageRank 
References 
43
2.20
25
Authors
5
Name
Order
Citations
PageRank
Davide Carneiro123632.47
José Carlos Castillo241134.89
Paulo Novais3883171.45
Antonio Fernández-Caballero41317117.99
José Neves5738.28