@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}

}

@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}

}

@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}

}