المؤلفون: Zhang, Bo

Thesis Advisors: Université de Lorraine, Bourhis, Guy, Morère, Yann

مصطلحات موضوعية: Reconnaissance de stress, Signal physiologique, Temps de réaction, Fusion de décision, Système embarqué, Stress recognition, Physiological signal, Reaction time, Decision fusion, Embedded system, 004.015 1

الاتاحة: http://www.theses.fr/2017LORR0113/document

المؤلفون: Zhang, Bo

المساهمون: STAR, ABES

مصطلحات موضوعية: Reaction time, Signal physiologique, Fusion de décision, Stress recognition, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Physiological signal, Decision fusion, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], Reconnaissance de stress, Système embarqué, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Embedded system, Temps de réaction

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od_______166::1b325c931f4820fdc62fb780752c3859
https://theses.hal.science/tel-01737211

المؤلفون: Zhang, Bo

المساهمون: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL), Université de Lorraine, Guy Bourhis, Yann Morère

المصدر: https://theses.hal.science/tel-01737211 ; Human-Computer Interaction [cs.HC]. Université de Lorraine, 2017. English. ⟨NNT : 2017LORR0113⟩.

مصطلحات موضوعية: Stress recognition, Physiological signal, Reaction time, Decision fusion, Embedded system, Reconnaissance de stress, Signal physiologique, Temps de réaction, Fusion de décision, Système embarqué, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Relation: NNT: 2017LORR0113; tel-01737211; https://theses.hal.science/tel-01737211; https://theses.hal.science/tel-01737211/document; https://theses.hal.science/tel-01737211/file/DDOC_T_2017_0113_ZHANG.pdf

الاتاحة: https://theses.hal.science/tel-01737211
https://theses.hal.science/tel-01737211/document
https://theses.hal.science/tel-01737211/file/DDOC_T_2017_0113_ZHANG.pdf

المؤلفون: Zhang, Bo

المساهمون: Université de Lorraine, Bourhis, Guy, Morère, Yann

مصطلحات موضوعية: Reconnaissance de stress, Signal physiologique, Temps de réaction, Fusion de décision, Système embarqué, Stress recognition, Physiological signal, Reaction time, Decision fusion, Embedded system, 004.015 1

Relation: http://www.theses.fr/2017LORR0113/document

الاتاحة: http://www.theses.fr/2017LORR0113/document

المؤلفون: Zhang, Bo, Morère, Yann, Sieler, Loic, Langlet, Cécile, Bolmont, Benoit, Bourhis, Guy

المساهمون: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL), STAR, ABES

المصدر: Journal of Image and Graphics
Journal of Image and Graphics, Dr. Branislav Vuksanovic, 2016, 4 (2), pp.116-121. ⟨10.18178/joig.4.2.116-121⟩

مصطلحات موضوعية: 0209 industrial biotechnology, Complete data, Stress recognition, Computer science, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, 02 engineering and technology, Machine learning, computer.software_genre, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Signal physiologique, Individual based, 020901 industrial engineering & automation, Fusion de décision, 0502 economics and business, Stress (linguistics), Physiological signal, Embedded system, Reaction time, 050210 logistics & transportation, business.industry, 05 social sciences, Système embarqué, Computer Graphics and Computer-Aided Design, Emergency situations, Computer Science Applications, Support vector machine, Face (geometry), Decision fusion, Computer Vision and Pattern Recognition, Artificial intelligence, State (computer science), [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], Reconnaissance de stress, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], business, computer, Temps de réaction

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba46e03776cb4eef2add803fbff50f6e
https://hal.univ-lorraine.fr/hal-02930374