Open Access
Issue |
SHS Web Conf.
Volume 119, 2021
3rd International Conference on Quantitative and Qualitative Methods for Social Sciences (QQR’21)
|
|
---|---|---|
Article Number | 05008 | |
Number of page(s) | 7 | |
Section | Psychology and Education Studies | |
DOI | https://doi.org/10.1051/shsconf/202111905008 | |
Published online | 24 August 2021 |
- F. Khalfi, ‘Reconnaissance automatique des émotions par données multimodales: expressions faciales et des signaux physiologiques’, p. 161. [Google Scholar]
- ‘Comment reconnaître les expressions faciales des émotions’, Bernard Guevorts, May 09, 2018. https://www.bernard-guevorts.com/article/comment-reconnaitre-les-expressions-faciales-des-emotions/ (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail: la joie’, Bernard Guevorts, May 16, 2018. https://www.bernard-guevorts.com/article/les-emotions-en-detail-la-joie/ (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail : la tristesse’. https://www.bernard-guevorts.com/article/les-emotions-en-detail-la-tristesse/#.YKb9Vd0o_IU (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail : la surprise’. https://www.bernard-guevorts.com/article/les-emotions-en-detail-la-surprise/#.YKb9d90o_IU (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail: la peur’. https://www.bernard-guevorts.com/article/les-emotions-en-detail-la-peur/#.YKb9l90o_IU (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail : la colère’. https://www.bernard-guevorts.com/article/les-emotions-en-detail-la-colere/#.YKb9tt0o_IU (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail : le dégout’. https://www.bernard-guevorts.com/article/les-emotions-en-detail-le-degout/ (accessed May 21, 2021). [Google Scholar]
- ‘Les émotions en détail : le mépris’. https://www.bernard-guevorts.com/article/les-emotions-en-detail-le-mepris/ (accessed May 21, 2021). [Google Scholar]
- E. Duplàa, ‘Les émotions : outils et corps social pour l’apprentissage en ligne’, stice, vol. 14, no. 1, pp. 289–308, 2007, doi: 10.3406/stice.2007.961. [CrossRef] [Google Scholar]
- R. Coenen, ‘Les émotions sociales, une clé pour la délinquance ?’, Journal du droit des jeunes, vol. N° 271, no. 1, pp. 25–27, 2008. [CrossRef] [Google Scholar]
- J. Redet and M. Vian, ‘Comparaison d’outils adaptés au terrain pour l’évaluation du ressenti à l’usage des IHM’, p. 4. [Google Scholar]
- M. Courgeon, C. Clavel, and J.-C. Martin, ‘Approche Comparative des Modèles Informatiques des Émotions pour l’Animation Faciale en Situation d’interaction’, p. 8. [Google Scholar]
- S. Gil, ‘Comment étudier les émotions en laboratoire ?’, no. 4, p. 10, 2009. [Google Scholar]
- A. A. Mekonnen, F. Lerasle, A. Herbulot, and C. Briand, ‘Détection de personnes par apprentissage de descripteurs hétérogènes sous des considérations CPU’, p. 8. [Google Scholar]
- Y. Freund and R. E. Schapire, ‘Experiments with a New Boosting Algorithm’, p. 16 [Google Scholar]
- M. J. Black, ‘Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion’, p. 26, 1997. [Google Scholar]
- I. A. Essa and A. P. Pentland, ‘Coding, analysis, interpretation, and recognition of facial expressions’, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 757–763, Jul. 1997, DOI: 10.1109/34.598232. [CrossRef] [Google Scholar]
- K. Mase, ‘Recognition of Facial Expression from Optical Flow’, IEICE TRANSACTIONS on Information and Systems, vol. E74-D, no. 10, pp. 3474–3483, Oct. 1991. [Google Scholar]
- Y. Tian, T. Kanade, and J. F. Cohn, ‘Recognizing lower face action units for facial expression analysis’, in Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), Mar. 2000, pp. 484490. DOI: 10.1109/AFGR.2000.840678. [Google Scholar]
- ‘Emotion recognition system using short-term monitoring of physiological signals | SpringerLink’. https://link.springer.com/article/10.1007/BF02344719 (accessed June 08, 2021). [Google Scholar]
- ‘Online stress detection using psychophysiological signals for implicit human-robotcooperation - ProQuest’. https://www.proquest.com/openview/cdfd1510ad24d462dcbda33a6a98cd9e/Ppq-origsite=gscholar&cbl=37292 (accessed June 08, 2021). [Google Scholar]
- R. W. Picard, E. Vyzas, and J. Healey, ‘Toward machine emotional intelligence: analysis of affective physiological state’, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1175–1191, Oct. 2001, DOI: 10.1109/34.954607. [CrossRef] [Google Scholar]
- T. L. Nwe, F. S. Wei, and L. C. De Silva, ‘Speech based emotion classification’, in Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239), Aug. 2001, vol. 1, pp. 297–301 vol.1. DOI: 10.1109/TENCON.2001.949600. [CrossRef] [Google Scholar]
- F. Dellaert, T. Polzin, and A. Waibel, ‘Recognizing emotion in speech’, in Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP ’96, Oct. 1996, vol. 3, pp. 1970–1973 vol.3. DOI: 10.1109/ICSLP.1996.608022. [CrossRef] [Google Scholar]
- L. S. Chen, T. S. Huang, T. Miyasato, and R. Nakatsu, ‘Multimodal human emotion/expression recognition’, in Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition, Apr. 1998, pp. 366–371. DOI: 10.1109/AFGR.1998.670976. [CrossRef] [Google Scholar]
- L. C. De Silva and P. C. Ng, ‘Bimodal emotion recognition’, in Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), Mar. 2000, pp. 332–335. DOI: 10.1109/AFGR.2000.840655. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.