The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset
File(s)07173007.pdf (1.38 MB)
Published version
Author(s)
Type
Journal Article
Date Issued
2016-12-10
Date Acceptance
2015-04-09
Citation
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2016, 7 (4), pp.435-451
ISSN
1949-3045
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Start Page
435
End Page
451
Journal / Book Title
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
Volume
7
Issue
4
Copyright Statement
This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389328800011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/H016988/1
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Cybernetics
Computer Science
Chronic low back pain
emotion
pain behaviour
body movement
facial expression
surface electromyography
motion capture
automatic emotion recognition
multimodal database
LOW-BACK-PAIN
FEAR-AVOIDANCE MODEL
PSYCHOLOGICAL-FACTORS
MUSCULOSKELETAL PAIN
AFFECT RECOGNITION
FACIAL EXPRESSION
LUMBAR FLEXION
WAVE-FORMS
BEHAVIOR
RELIABILITY
Publication Status
Published
Date Publish Online
2015-07-29