Paper Info
Title
Audio-Visual Recognition Of Pain Intensity
Abstract
In this work, a multi-modal pain intensity recognition system based on both audio and video channels is presented. The system is assessed on a newly recorded dataset consisting of several individuals, each subjected to 3 gradually increasing levels of painful heat stimuli under controlled conditions. The assessment of the dataset consists of the extraction of a multitude of features from each modality, followed by an evaluation of the discriminative power of each extracted feature set. Finally, several fusion architectures, involving early and late fusion, are assessed. The temporal availability of the audio channel is taken in consideration during the assessment of the fusion architectures.
Year
DOI
Venue
2016
10.1007/978-3-319-59259-6_10
MULTIMODAL PATTERN RECOGNITION OF SOCIAL SIGNALS IN HUMAN-COMPUTER-INTERACTION, MPRSS 2016
Keywords
DocType
Volume
Pain intensity recognition, Decision fusion, Multi-modal affect recognition, Random Forests
Conference
10183
ISSN
Citations 
PageRank 
0302-9743
1
0.36
References 
Authors
0
5
Name
Order
Citations
PageRank
Patrick Thiam1589.29
Viktor Kessler210.70
Steffen Walter312713.34
G&#252/nther Palm41249135.67
Friedhelm Schwenker5116096.59