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Spontaneous Pain Expression Recognition in Video Sequences

Zakia Hammal, Miriam Kunz, Martin Arguin, Frédéric Gosselin
2008 unpublished
In this paper we present results of the application of an automatic facial expression recognition system on sequences of spontaneous Pain expression.  ...  For this paper, we extended this model to the recognition of sequences of spontaneous Pain expression.  ...  In the following, the system is generalized for the recognition of Pain expression in video sequences using fusion of visual and contextual information.  ... 
doi:10.14236/ewic/vocs2008.17 fatcat:yj2apxvkl5hohntaoflp37qa6i

Robust features for facial action recognition [article]

Nadav Israel, Lior Wolf, Ran Barzilay, Gal Shoval
2017 arXiv   pre-print
We evaluate the proposed method by demonstrating its effectiveness on spontaneous face action benchmarks: the FEEDTUM dataset, the Pain dataset and the HMDB51 dataset.  ...  In this paper, we present an automated system that recognizes facial gestures by capturing local changes and encoding the motion into a histogram of frequencies.  ...  A significant contribution to on research on spontaneous expressions was the introduction of UNBC-McMaster Shoulder Pain dataset [9] , which involves subjects experiencing shoulder pain in a clinical  ... 
arXiv:1702.01426v2 fatcat:slqsnysu2bbvjk3izkwp5avafi

A high-resolution spontaneous 3D dynamic facial expression database

Xing Zhang, Lijun Yin, Jeffrey F. Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, Peng Liu
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
We present a newly developed 3D video database of spontaneous facial expressions in a diverse group of young adults.  ...  Because posed and un-posed (aka "spontaneous") facial expressions differ along several dimensions including complexity and timing, well-annotated video of un-posed facial behavior is needed.  ...  The average recognition rates for the two approaches were 51.3% and 63.2%, respectively. 2) Action Unit recognition on spontaneous 4D data We also performed experiments in AU recognition on the new spontaneous  ... 
doi:10.1109/fg.2013.6553788 dblp:conf/fgr/ZhangYCCRHL13 fatcat:pnsquacal5g4xhzdtzosdy5crm

Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning [article]

Zhanli Chen, Rashid Ansari, Diana J. Wilkie
2018 arXiv   pre-print
at video-sequence level.  ...  Tests on long videos in a lung cancer patient video dataset demonstrates the potential value of the proposed system for pain monitoring in clinical settings.  ...  ACKNOWLEDGMENT This research and publication was made possible in past by Grant Number P30 NR010680-S1 from the National Institutes of Health, National Institute of Nursing Research.  ... 
arXiv:1712.01496v2 fatcat:dp6r3kng5zhxdce5tfxihumw5a

Analyzing trajectories on Grassmann manifold for early emotion detection from depth videos

Taleb Alashkar, Boulbaba Ben Amor, Stefano Berretti, Mohamed Daoudi
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
recognition and emotion detection proposed in this thesis.  ...  In particular, we have studied the role of facial (shapes) dynamics in revealing the human identity and their exhibited spontaneous emotion.  ...  or physical pain, in-depth videos.  ... 
doi:10.1109/fg.2015.7163122 dblp:conf/fgr/AlashkarABD15 fatcat:53lkhk6apzaqndylmu5iphqupe

Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation

Michael Xuelin Huang, Grace Ngai, Kien A. Hua, Stephen C.F. Chan, Hong Va Leong
2016 IEEE Transactions on Affective Computing  
The conventional approach relies on the use of key frames in recorded affect sequences and requires an expert observer to identify and annotate the frames.  ...  This paper presents PADMA (Personalized Affect Detection with Minimal Annotation), a userdependent approach for identifying affective states from spontaneous facial expressions without the need for expert  ...  This gives us a sequence of expression labels ( ) , where denotes the number of frames in a user's response video.  ... 
doi:10.1109/taffc.2015.2495222 fatcat:6h4d72q3ybcldgate4mmin7obu

Macro- and Micro-Expressions Facial Datasets: A Survey

Hajer Guerdelli, Claudio Ferrari, Walid Barhoumi, Haythem Ghazouani, Stefano Berretti
2022 Sensors  
The proposed study is mostly focused on spontaneous and in-the-wild datasets, given the common trend in the research is that of considering contexts where expressions are shown in a spontaneous way and  ...  Automatic facial expression recognition is essential for many potential applications.  ...  It contains physical pain/temporal expressions/spontaneous facial expressions relating to genuine pain, while discriminating 48,398 frames/200 video sequences.  ... 
doi:10.3390/s22041524 pmid:35214430 pmcid:PMC8879817 fatcat:mylt5rain5d4dbszdknpcjmdui

Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds

Taleb Alashkar, Boulbaba Ben Amor, Mohamed Daoudi, Stefano Berretti
2018 IEEE Transactions on Affective Computing  
In this paper, we propose a unified framework for the purpose of online spontaneous emotion detection, such as happiness or physical pain, from depth videos.  ...  of the same framework to physical pain detection from high-resolution and long 3D-face sequences.  ...  , so that the emotions depend jointly on the dynamics of facial expressions and upper body; (b) Early detection of spontaneous physical pain from dynamic sequences of 3D high resolution facial sequences  ... 
doi:10.1109/taffc.2016.2623718 fatcat:3uestngfsnejfgvscxwxvi2etu

On pain assessment from facial videos using spatio-temporal local descriptors

Ruijing Yang, Shujun Tong, Miguel Bordallo, Elhocine Boutellaa, Jinye Peng, Xiaoyi Feng, Abdenour Hadid
2016 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)  
Automatically recognizing pain from spontaneous facial expression is of increased attention, since it can provide for a direct and relatively objective indication to pain experience.  ...  Until now, most of the existing works have focused on analyzing pain from individual images or video-frames, hence discarding the spatio-temporal information that can be useful in the continuous assessment  ...  painful expression [6] to spontaneous pain recognition [7] , [8] and from pain detection [9] to pain intensity estimation [10] .  ... 
doi:10.1109/ipta.2016.7820930 dblp:conf/ipta/YangTLBPFH16 fatcat:zo33ouns4ba6bftuyb6icepzua

Weakly supervised pain localization using multiple instance learning

Karan Sikka, Abhinav Dhall, Marian Bartlett
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
Automatic pain recognition from videos is a vital clinical application and, owing to its spontaneous nature, poses interesting challenges to automatic facial expression recognition (AFER) research.  ...  and (2) the time point and the duration of the pain expression event(s) in each video are unknown.  ...  Here we apply MIL to the problem of detecting spontaneous facial expression in video.  ... 
doi:10.1109/fg.2013.6553762 dblp:conf/fgr/SikkaDB13 fatcat:5zy6wnqrbvgwhjes7op4v63rta

An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis [article]

Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai, Lijun Yin
2022 arXiv   pre-print
We recorded the EEGs and face videos of both posed facial actions and spontaneous expressions from 29 participants with different ages, genders, ethnic backgrounds.  ...  As a baseline, the database has been evaluated through the experiments on both posed and spontaneous emotion recognition with images alone, EEG alone, and EEG fused with images, respectively.  ...  The material is based on the work supported in part by the NSF under grant CNS-1629898 and the Center of Imaging, Acoustics, and Perception Science (CIAPS) of the Research Foundation of Binghamton University  ... 
arXiv:2203.15829v1 fatcat:inewwvopu5c55ouvujpbm5kndu

Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation

Mohammad Tavakolian, Abdenour Hadid
2018 2018 24th International Conference on Pattern Recognition (ICPR)  
Extensive experiments on the UNBC-McMaster Shoulder Pain Expression Archive database show that our proposed model yields in a promising performance compared to the state-of-the-art in automatic pain intensity  ...  Inspired by the fact that many diseases and brain disorders can interrupt normal facial expression formation, we aim to develop a computational model for automatic pain intensity assessment from spontaneous  ...  Each video sequence was annotated in a frame-level fashion by FACS, resulting in 16 discrete pain intensity levels (0-15) based on facial Action Units (AUs).  ... 
doi:10.1109/icpr.2018.8545324 dblp:conf/icpr/TavakolianH18 fatcat:axkrja5atngr7pojjdiuy4v2su

Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis

Zheng Zhang, Jeffrey M. Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andrew Horowitz, Huiyuan Yang, Jeffrey F. Cohn, Qiang Ji (+1 others)
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Facial expression was annotated for both the occurrence and intensity of facial action units from 2D video by experts in the Facial Action Coding System (FACS).  ...  Emotion is expressed in multiple modalities, yet most research has considered at most one or two.  ...  Peter Gerhardstein for his help in data collection.  ... 
doi:10.1109/cvpr.2016.374 dblp:conf/cvpr/ZhangGWZLCCRHYC16 fatcat:ruektuwrlbbj3mcliur5kfk5fe

Automated Pain Detection from Facial Expressions using FACS: A Review [article]

Zhanli Chen, Rashid Ansari, Diana Wilkie
2018 arXiv   pre-print
Significant progress on automated facial expression recognition (AFER) has led to its numerous successful applications in FACS-based affective computing problems.  ...  In this paper, we review the progress in research that has contributed to automated pain detection, with focus on 1) the framework-level similarity between spontaneous AFER and APD problems; 2) the evolution  ...  in the research on spontaneous facial expression recognition.  ... 
arXiv:1811.07988v1 fatcat:ku7pgk73n5hstocx5nuod4gu5a

4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications [article]

Shiyang Cheng, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou
2018 arXiv   pre-print
It contains 4D videos of subjects displaying both spontaneous and posed facial behaviours. The database can be used for both face and facial expression recognition, as well as behavioural biometrics.  ...  The progress we are currently witnessing in many computer vision applications, including automatic face analysis, would not be made possible without tremendous efforts in collecting and annotating large  ...  transfer given a spontaneous expression sequence from subject P085 of Session 4.(b) Expression transfer given a spontaneous expression sequence from subject P163 of Session 4.  ... 
arXiv:1712.01443v2 fatcat:aamemjgc2bbtxmibju4sk6nqky
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