Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Joyal, C. C.; Jacob, L.; Cigna, M. -H.; Guay, J. -P.; Renaud, P.
Virtual faces expressing emotions: An initial concomitant and construct validity study Article de journal
Dans: Frontiers in Human Neuroscience, vol. 8, no SEP, p. 1–6, 2014, ISSN: 16625161, (Publisher: Frontiers Media S. A.).
Résumé | Liens | BibTeX | Étiquettes: adult, anger, article, computer program, construct validity, corrugator supercilii muscle, disgust, Electromyography, emotion, emotionality, face muscle, Facial Expression, Fear, female, gaze, happiness, human, human experiment, male, Middle Aged, muscle contraction, normal human, positive feedback, sadness, surprise, task performance, virtual reality, Young Adult, zygomatic major muscle
@article{joyal_virtual_2014,
title = {Virtual faces expressing emotions: An initial concomitant and construct validity study},
author = {C. C. Joyal and L. Jacob and M. -H. Cigna and J. -P. Guay and P. Renaud},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933679803&doi=10.3389%2ffnhum.2014.00787&partnerID=40&md5=c51b26765fb1e2152cede99adcd519b0},
doi = {10.3389/fnhum.2014.00787},
issn = {16625161},
year = {2014},
date = {2014-01-01},
journal = {Frontiers in Human Neuroscience},
volume = {8},
number = {SEP},
pages = {1–6},
abstract = {Objectives: The goal of this study was to initially assess concomitants and construct validity of a newly developed set of virtual faces expressing six fundamental emotions (happiness, surprise, anger, sadness, fear, and disgust). Recognition rates, facial electromyography (zygomatic major and corrugator supercilii muscles), and regional gaze fixation latencies (eyes and mouth regions) were compared in 41 adult volunteers (20 
, 21 
) during the presentation of video clips depicting real vs. virtual adults expressing emotions. Background: Facial expressions of emotions represent classic stimuli for the studyofsocial cognition. Developing virtual dynamic facial expressions ofemotions, however, would open-up possibilities, both for fundamental and clinical research. For instance, virtual faces allow real-time Human–Computer retroactions between physiological measures and the virtual agent. Results: Emotions expressed by each set of stimuli were similarly recognized, both by men and women. Accordingly, both sets of stimuli elicited similar activation of facial muscles and similar ocular fixation times in eye regions from man and woman participants. Conclusion: Further validation studies can be performed with these virtual faces among clinical populations known to present social cognition difficulties. Brain–Computer Interface studies with feedback–feedforward interactions based on facial emotion expressions can also be conducted with these stimuli. © 2014 Joyal, Jacob, Cigna, Guay and Renaud.},
note = {Publisher: Frontiers Media S. A.},
keywords = {adult, anger, article, computer program, construct validity, corrugator supercilii muscle, disgust, Electromyography, emotion, emotionality, face muscle, Facial Expression, Fear, female, gaze, happiness, human, human experiment, male, Middle Aged, muscle contraction, normal human, positive feedback, sadness, surprise, task performance, virtual reality, Young Adult, zygomatic major muscle},
pubstate = {published},
tppubtype = {article}
}
Objectives: The goal of this study was to initially assess concomitants and construct validity of a newly developed set of virtual faces expressing six fundamental emotions (happiness, surprise, anger, sadness, fear, and disgust). Recognition rates, facial electromyography (zygomatic major and corrugator supercilii muscles), and regional gaze fixation latencies (eyes and mouth regions) were compared in 41 adult volunteers (20 , 21 ) during the presentation of video clips depicting real vs. virtual adults expressing emotions. Background: Facial expressions of emotions represent classic stimuli for the studyofsocial cognition. Developing virtual dynamic facial expressions ofemotions, however, would open-up possibilities, both for fundamental and clinical research. For instance, virtual faces allow real-time Human–Computer retroactions between physiological measures and the virtual agent. Results: Emotions expressed by each set of stimuli were similarly recognized, both by men and women. Accordingly, both sets of stimuli elicited similar activation of facial muscles and similar ocular fixation times in eye regions from man and woman participants. Conclusion: Further validation studies can be performed with these virtual faces among clinical populations known to present social cognition difficulties. Brain–Computer Interface studies with feedback–feedforward interactions based on facial emotion expressions can also be conducted with these stimuli. © 2014 Joyal, Jacob, Cigna, Guay and Renaud.
, 21 ) during the presentation of video clips depicting real vs. virtual adults expressing emotions. Background: Facial expressions of emotions represent classic stimuli for the studyofsocial cognition. Developing virtual dynamic facial expressions ofemotions, however, would open-up possibilities, both for fundamental and clinical research. For instance, virtual faces allow real-time Human–Computer retroactions between physiological measures and the virtual agent. Results: Emotions expressed by each set of stimuli were similarly recognized, both by men and women. Accordingly, both sets of stimuli elicited similar activation of facial muscles and similar ocular fixation times in eye regions from man and woman participants. Conclusion: Further validation studies can be performed with these virtual faces among clinical populations known to present social cognition difficulties. Brain–Computer Interface studies with feedback–feedforward interactions based on facial emotion expressions can also be conducted with these stimuli. © 2014 Joyal, Jacob, Cigna, Guay and Renaud.2.
Bouchard, Stephane; Rancourt, Denis; Clancy, Edward A.
EMG-to-torque dynamic relationship for elbow constant angle contractions Article d'actes
Dans: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, p. 573, IEEE, Piscataway, NJ, United States, Atlanta, GA, USA, 1999, ISBN: 05891019 (ISSN); 0780356756 (ISBN), (Journal Abbreviation: Annu Int Conf IEEE Eng Med Biol Proc).
Résumé | Liens | BibTeX | Étiquettes: Electromyography, Joints (anatomy), Mathematical models, Signal whitening, Torque
@inproceedings{bouchard_emg–torque_1999,
title = {EMG-to-torque dynamic relationship for elbow constant angle contractions},
author = {Stephane Bouchard and Denis Rancourt and Edward A. Clancy},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033353983&partnerID=40&md5=cf7a2b4c35a58c2409dda2d3f1af124d},
isbn = {05891019 (ISSN); 0780356756 (ISBN)},
year = {1999},
date = {1999-01-01},
booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings},
volume = {1},
pages = {573},
publisher = {IEEE, Piscataway, NJ, United States},
address = {Atlanta, GA, USA},
abstract = {The purpose of this work was to determine the optimal EMG-torque relationship using four different EMG processors in conjunction with different system identification (ID) techniques for dynamically torque varying elbow constant angle contractions. Comparing predicted torque with actual elbow torque, it was found that either multiple EMG channels or EMG signal whitening lead to the best relationship. The choice of the system ID model had limited effect on performance.},
note = {Journal Abbreviation: Annu Int Conf IEEE Eng Med Biol Proc},
keywords = {Electromyography, Joints (anatomy), Mathematical models, Signal whitening, Torque},
pubstate = {published},
tppubtype = {inproceedings}
}
The purpose of this work was to determine the optimal EMG-torque relationship using four different EMG processors in conjunction with different system identification (ID) techniques for dynamically torque varying elbow constant angle contractions. Comparing predicted torque with actual elbow torque, it was found that either multiple EMG channels or EMG signal whitening lead to the best relationship. The choice of the system ID model had limited effect on performance.