Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Charbonneau, I.; Duncan, J.; Blais, C.; Guérette, J.; Plouffe-Demers, M. -P.; Smith, F.; Fiset, D.
Facial expression categorization predominantly relies on mid-spatial frequencies Article de journal
Dans: Vision Research, vol. 231, 2025, ISSN: 00426989 (ISSN), (Publisher: Elsevier Ltd).
Résumé | Liens | BibTeX | Étiquettes: adult, article, Bubbles, Classification, controlled study, emotion, Emotions, Facial Expression, facial expressions, Facial Recognition, female, human, Humans, male, physiology, Psychophysics, simulation, Spatial frequencies, Young Adult
@article{charbonneau_facial_2025,
title = {Facial expression categorization predominantly relies on mid-spatial frequencies},
author = {I. Charbonneau and J. Duncan and C. Blais and J. Guérette and M. -P. Plouffe-Demers and F. Smith and D. Fiset},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003427898&doi=10.1016%2fj.visres.2025.108611&partnerID=40&md5=19b14eb2487f220c3e41cbce28fa5287},
doi = {10.1016/j.visres.2025.108611},
issn = {00426989 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Vision Research},
volume = {231},
abstract = {Facial expressions are crucial in human communication. Recent decades have seen growing interest in understanding the role of spatial frequencies (SFs) in emotion perception in others. While some studies have suggested a preferential treatment of low versus high SFs, the optimal SFs for recognizing basic facial expressions remain elusive. This study, conducted on Western participants, addresses this gap using two complementary methods: a data-driven method (Exp. 1) without arbitrary SF cut-offs, and a more naturalistic method (Exp. 2) simulating variations in viewing distance. Results generally showed a preponderant role of low over high SFs, but particularly stress that facial expression categorization mostly relies on mid-range SF content (i.e. ∼6–13 cycles per face), often overlooked in previous studies. Optimal performance was observed at short to medium viewing distances (1.2–2.4 m), declining sharply with increased distance, precisely when mid-range SFs were no longer available. Additionally, our data suggest variations in SF tuning profiles across basic facial expressions and nuanced contributions from low and mid SFs in facial expression processing. Most importantly, it suggests that any method that removes mid-SF content has the downfall of offering an incomplete account of SFs diagnosticity for facial expression recognition. © 2025 The Authors},
note = {Publisher: Elsevier Ltd},
keywords = {adult, article, Bubbles, Classification, controlled study, emotion, Emotions, Facial Expression, facial expressions, Facial Recognition, female, human, Humans, male, physiology, Psychophysics, simulation, Spatial frequencies, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Facial expressions are crucial in human communication. Recent decades have seen growing interest in understanding the role of spatial frequencies (SFs) in emotion perception in others. While some studies have suggested a preferential treatment of low versus high SFs, the optimal SFs for recognizing basic facial expressions remain elusive. This study, conducted on Western participants, addresses this gap using two complementary methods: a data-driven method (Exp. 1) without arbitrary SF cut-offs, and a more naturalistic method (Exp. 2) simulating variations in viewing distance. Results generally showed a preponderant role of low over high SFs, but particularly stress that facial expression categorization mostly relies on mid-range SF content (i.e. ∼6–13 cycles per face), often overlooked in previous studies. Optimal performance was observed at short to medium viewing distances (1.2–2.4 m), declining sharply with increased distance, precisely when mid-range SFs were no longer available. Additionally, our data suggest variations in SF tuning profiles across basic facial expressions and nuanced contributions from low and mid SFs in facial expression processing. Most importantly, it suggests that any method that removes mid-SF content has the downfall of offering an incomplete account of SFs diagnosticity for facial expression recognition. © 2025 The Authors
2.
Ouyed, O.; Allili, M. S.
Feature weighting for multinomial kernel logistic regression and application to action recognition Article de journal
Dans: Neurocomputing, vol. 275, p. 1752–1768, 2018, ISSN: 09252312, (Publisher: Elsevier B.V.).
Résumé | Liens | BibTeX | Étiquettes: Action recognition, article, Classification, classification algorithm, Classification performance, Computer applications, controlled study, embedding, Feature relevance, feature relevance for multinomial kernel logistic regression, Feature weighting, Kernel logistic regression, kernel method, Learning, mathematical computing, Multinomial kernels, multinominal kernel logistic regression, Neural networks, priority journal, recognition, regression analysis, simulation, sparse modeling, Sparse models, sparse multinomial logistic regression, sparsity promoting regularization, standard, Supervised classification
@article{ouyed_feature_2018,
title = {Feature weighting for multinomial kernel logistic regression and application to action recognition},
author = {O. Ouyed and M. S. Allili},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035104467&doi=10.1016%2fj.neucom.2017.10.024&partnerID=40&md5=09687b392a405be4338799a750932cf3},
doi = {10.1016/j.neucom.2017.10.024},
issn = {09252312},
year = {2018},
date = {2018-01-01},
journal = {Neurocomputing},
volume = {275},
pages = {1752–1768},
abstract = {Multinominal kernel logistic regression (MKLR) is a supervised classification method designed for separating classes with non-linear boundaries. However, it relies on the assumption that all features are equally important, which may decrease classification performance when dealing with high-dimensional and noisy data. We propose an approach for embedding feature relevance in multinomial kernel logistic regression. Our approach, coined fr-MKLR, generalizes MKLR by introducing a feature weighting scheme in the Gaussian kernel and using the so-called ℓ0-“norm” as sparsity-promoting regularization. Therefore, the contribution of each feature is tuned according to its relevance for classification which leads to more generalizable and interpretable sparse models for classification. Application of our approach to several standard datasets and video action recognition has provided very promising results compared to other methods. © 2017 Elsevier B.V.},
note = {Publisher: Elsevier B.V.},
keywords = {Action recognition, article, Classification, classification algorithm, Classification performance, Computer applications, controlled study, embedding, Feature relevance, feature relevance for multinomial kernel logistic regression, Feature weighting, Kernel logistic regression, kernel method, Learning, mathematical computing, Multinomial kernels, multinominal kernel logistic regression, Neural networks, priority journal, recognition, regression analysis, simulation, sparse modeling, Sparse models, sparse multinomial logistic regression, sparsity promoting regularization, standard, Supervised classification},
pubstate = {published},
tppubtype = {article}
}
Multinominal kernel logistic regression (MKLR) is a supervised classification method designed for separating classes with non-linear boundaries. However, it relies on the assumption that all features are equally important, which may decrease classification performance when dealing with high-dimensional and noisy data. We propose an approach for embedding feature relevance in multinomial kernel logistic regression. Our approach, coined fr-MKLR, generalizes MKLR by introducing a feature weighting scheme in the Gaussian kernel and using the so-called ℓ0-“norm” as sparsity-promoting regularization. Therefore, the contribution of each feature is tuned according to its relevance for classification which leads to more generalizable and interpretable sparse models for classification. Application of our approach to several standard datasets and video action recognition has provided very promising results compared to other methods. © 2017 Elsevier B.V.
3.
Davoust, A.; Wainer, G.; Esfandiari, B.
DEVS simulation of peer-to-peer file-sharing Article d'actes
Dans: Proceedings of the 2012 International Conference on High Performance Computing and Simulation, HPCS 2012, p. 357–364, Madrid, 2012, ISBN: 978-146732359-8 (ISBN), (Journal Abbreviation: Proc. Int. Conf. High Perform. Comput. Simul., HPCS).
Résumé | Liens | BibTeX | Étiquettes: Coupled models, DEVS, DEVS simulation, Discrete event systems Specifications, Distributed computer systems, File Sharing, File sharing networks, Framework models, Internet protocols, Network models, Network simulation tools, Peer model, Peer to peer, Peer to peer networks, Peer-To-Peer, Real-time simulator, simulation
@inproceedings{davoust_devs_2012,
title = {DEVS simulation of peer-to-peer file-sharing},
author = {A. Davoust and G. Wainer and B. Esfandiari},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866984789&doi=10.1109%2fHPCSim.2012.6266937&partnerID=40&md5=0a024e6c84c3befb05bb063b538ee71a},
doi = {10.1109/HPCSim.2012.6266937},
isbn = {978-146732359-8 (ISBN)},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the 2012 International Conference on High Performance Computing and Simulation, HPCS 2012},
pages = {357–364},
address = {Madrid},
abstract = {We present a framework to simulate a peer-to-peer (P2P) file-sharing network, based on the Discrete Event Systems Specification (DEVS) formalism. Our framework models a file-sharing network as a coupled model, comprising a network model and a large number of peer models. While most available network simulation tools focus on transportlevel dynamics, we provide extensible and reusable models for the file-sharing protocol and for the behavior of peers. These models, implemented using the CD++ toolkit, can readily be used on existing simulators, including parallel and real-time simulators. As a case study, we apply our framework to simulate a P2P web, and show the emergence of an interesting page distribution. © 2012 IEEE.},
note = {Journal Abbreviation: Proc. Int. Conf. High Perform. Comput. Simul., HPCS},
keywords = {Coupled models, DEVS, DEVS simulation, Discrete event systems Specifications, Distributed computer systems, File Sharing, File sharing networks, Framework models, Internet protocols, Network models, Network simulation tools, Peer model, Peer to peer, Peer to peer networks, Peer-To-Peer, Real-time simulator, simulation},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a framework to simulate a peer-to-peer (P2P) file-sharing network, based on the Discrete Event Systems Specification (DEVS) formalism. Our framework models a file-sharing network as a coupled model, comprising a network model and a large number of peer models. While most available network simulation tools focus on transportlevel dynamics, we provide extensible and reusable models for the file-sharing protocol and for the behavior of peers. These models, implemented using the CD++ toolkit, can readily be used on existing simulators, including parallel and real-time simulators. As a case study, we apply our framework to simulate a P2P web, and show the emergence of an interesting page distribution. © 2012 IEEE.
4.
Bouchard, S.; Bernier, F.; Boivin, E.; Morin, B.; Robillard, G.
Using biofeedback while immersed in a stressful videogame increases the effectiveness of stress management skills in soldiers Article de journal
Dans: PLoS ONE, vol. 7, no 4, 2012, ISSN: 19326203.
Résumé | Liens | BibTeX | Étiquettes: adult, Arousal, article, Biofeedback, clinical trial, controlled clinical trial, controlled study, explosion, feedback system, first aid, Heart Rate, human, human experiment, Humans, Hydrocortisone, male, mental stress, metabolism, methodology, Military Personnel, military phenomena, normal human, pathophysiology, Psychological, psychological aspect, psychology, Psychophysiology, randomized controlled trial, recreation, Saliva, saliva level, simulation, soldier, Stress, Stress management, Video Games
@article{bouchard_using_2012,
title = {Using biofeedback while immersed in a stressful videogame increases the effectiveness of stress management skills in soldiers},
author = {S. Bouchard and F. Bernier and E. Boivin and B. Morin and G. Robillard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860485827&doi=10.1371%2fjournal.pone.0036169&partnerID=40&md5=4b29a984169d2fe12d54f4c562344723},
doi = {10.1371/journal.pone.0036169},
issn = {19326203},
year = {2012},
date = {2012-01-01},
journal = {PLoS ONE},
volume = {7},
number = {4},
abstract = {This study assessed the efficacy of using visual and auditory biofeedback while immersed in a tridimensional videogame to practice a stress management skill (tactical breathing). All 41 participants were soldiers who had previously received basic stress management training and first aid training in combat. On the first day, they received a 15-minute refresher briefing and were randomly assigned to either: (a) no additional stress management training (SMT) for three days, or (b) 30-minute sessions (one per day for three days) of biofeedback-assisted SMT while immersed in a horror/first-person shooter game. The training was performed in a dark and enclosed environment using a 50-inch television with active stereoscopic display and loudspeakers. On the last day, all participants underwent a live simulated ambush with an improvised explosive device, where they had to provide first aid to a wounded soldier. Stress levels were measured with salivary cortisol collected when waking-up, before and after the live simulation. Stress was also measured with heart rate at baseline, during an apprehension phase, and during the live simulation. Repeated-measure ANOVAs and ANCOVAs confirmed that practicing SMT was effective in reducing stress. Results are discussed in terms of the advantages of the proposed program for military personnel and the need to practice SMT. © 2012 Bouchard et al.},
keywords = {adult, Arousal, article, Biofeedback, clinical trial, controlled clinical trial, controlled study, explosion, feedback system, first aid, Heart Rate, human, human experiment, Humans, Hydrocortisone, male, mental stress, metabolism, methodology, Military Personnel, military phenomena, normal human, pathophysiology, Psychological, psychological aspect, psychology, Psychophysiology, randomized controlled trial, recreation, Saliva, saliva level, simulation, soldier, Stress, Stress management, Video Games},
pubstate = {published},
tppubtype = {article}
}
This study assessed the efficacy of using visual and auditory biofeedback while immersed in a tridimensional videogame to practice a stress management skill (tactical breathing). All 41 participants were soldiers who had previously received basic stress management training and first aid training in combat. On the first day, they received a 15-minute refresher briefing and were randomly assigned to either: (a) no additional stress management training (SMT) for three days, or (b) 30-minute sessions (one per day for three days) of biofeedback-assisted SMT while immersed in a horror/first-person shooter game. The training was performed in a dark and enclosed environment using a 50-inch television with active stereoscopic display and loudspeakers. On the last day, all participants underwent a live simulated ambush with an improvised explosive device, where they had to provide first aid to a wounded soldier. Stress levels were measured with salivary cortisol collected when waking-up, before and after the live simulation. Stress was also measured with heart rate at baseline, during an apprehension phase, and during the live simulation. Repeated-measure ANOVAs and ANCOVAs confirmed that practicing SMT was effective in reducing stress. Results are discussed in terms of the advantages of the proposed program for military personnel and the need to practice SMT. © 2012 Bouchard et al.
5.
Renaud, P.; Chartier, S.; Albert, G.; Décarie, J.; Cournoyer, L. -G.; Bouchard, S.
Presence as determined by fractal perceptual-motor dynamics Article de journal
Dans: Cyberpsychology and Behavior, vol. 10, no 1, p. 122–130, 2007, ISSN: 10949313.
Résumé | Liens | BibTeX | Étiquettes: adult, article, eye movement, Eye movements, female, gaze, human, Humans, immersion, male, mathematical computing, motor performance, perceptual motor dynamics, Psychomotor Performance, simulation, Social Environment, Social Perception, standard, three dimensional imaging, User-Computer Interface, virtual reality modeling language, Visual Perception
@article{renaud_presence_2007,
title = {Presence as determined by fractal perceptual-motor dynamics},
author = {P. Renaud and S. Chartier and G. Albert and J. Décarie and L. -G. Cournoyer and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847713017&doi=10.1089%2fcpb.2006.9983&partnerID=40&md5=c1c6df654279a13b1553e9cfbf43acd0},
doi = {10.1089/cpb.2006.9983},
issn = {10949313},
year = {2007},
date = {2007-01-01},
journal = {Cyberpsychology and Behavior},
volume = {10},
number = {1},
pages = {122–130},
abstract = {This paper presents a tentative model of the role of perceptual-motor dynamics in the emergence of the feeling of presence. A new method allowing the measure of how gaze probes three-dimensional space in immersion is used to support this model. Fractal computations of gaze behavior are shown to be more effective titan standard computations of eye movements in predicting presence. © Mary Ann Liebert, Inc.},
keywords = {adult, article, eye movement, Eye movements, female, gaze, human, Humans, immersion, male, mathematical computing, motor performance, perceptual motor dynamics, Psychomotor Performance, simulation, Social Environment, Social Perception, standard, three dimensional imaging, User-Computer Interface, virtual reality modeling language, Visual Perception},
pubstate = {published},
tppubtype = {article}
}
This paper presents a tentative model of the role of perceptual-motor dynamics in the emergence of the feeling of presence. A new method allowing the measure of how gaze probes three-dimensional space in immersion is used to support this model. Fractal computations of gaze behavior are shown to be more effective titan standard computations of eye movements in predicting presence. © Mary Ann Liebert, Inc.