Diagnosis of human operator behaviour in case of train driving: interest of facial recognition
| Autor: | LEGRAND, Cyril, Richard, Philippe, Benard, Vincent, Vanderhaegen, Frédéric, Caulier, Patrice |
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| Přispěvatelé: | Évaluation des Systèmes de Transports Automatisés et de leur Sécurité (IFSTTAR/ESTAS), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Lille Nord de France, Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | 30th European Annual Conference on Human Decision-Making and Manual Control 30th European Annual Conference on Human Decision-Making and Manual Control, Sep 2012, Germany. 6p |
| Popis: | This paper shows a state-of-the-art of facial recognition with reliable algorithms more particularly with Viola and Jones contributions based on the use of Haar-like features suited to temporal constraints of rail drive. Estimations of eyes and mouth positions are provided in relation to face. The operations are done on pixels of those pictures in order to determine the blinking and the yawns betraying a sleepiness of the operator. The definition of neutral and surprise emotions corresponding respectively to normal or degraded situation permits to test the algorithms. |
| Databáze: | OpenAIRE |
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