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Titre : Affect recognition in a social robot Type de document : Travail de fin d'études Auteurs : Célestin Bidot, Auteur ; Fazel Naghdy, ; Nathalie Bauche, Editeur : ECAM Année de publication : 2018 Note générale : University Of Wollongong Langues : Anglais (eng) Index. décimale : TFE - Automatique Résumé : At present, the number of elderly suffering from dementia is increasing and it is difficult to provide continuous assistance as needed. This assistance might be basic like reminders for daily life (appointment, treatment, …) but also extremely important such as social interactions. The care required in these situations might be achieved by deploying social robots. The Centre for Intelligent Mechatronics Research (CMIR) of the University of Wollongong has acquired a humanoid robot towards developing into a smart and intelligent robot to interact with elderly. In this thesis, the work is focussed on exploring the capability of the robot to perceive the emotions of the user through visual clues such as posture and gait and react accordingly. The ai mis to improve the social interaction between the robot and older people and help them on a daily basis. In this stage of the work, systematic methodologies will be developed for further development of the robot and exploiting its sensors and actuators in the affect recognition algorithms. Affect recognition in a social robot [Travail de fin d'études] / Célestin Bidot, Auteur ; Fazel Naghdy, ; Nathalie Bauche, . - ECAM, 2018.
University Of Wollongong
Langues : Anglais (eng)
Index. décimale : TFE - Automatique Résumé : At present, the number of elderly suffering from dementia is increasing and it is difficult to provide continuous assistance as needed. This assistance might be basic like reminders for daily life (appointment, treatment, …) but also extremely important such as social interactions. The care required in these situations might be achieved by deploying social robots. The Centre for Intelligent Mechatronics Research (CMIR) of the University of Wollongong has acquired a humanoid robot towards developing into a smart and intelligent robot to interact with elderly. In this thesis, the work is focussed on exploring the capability of the robot to perceive the emotions of the user through visual clues such as posture and gait and react accordingly. The ai mis to improve the social interaction between the robot and older people and help them on a daily basis. In this stage of the work, systematic methodologies will be developed for further development of the robot and exploiting its sensors and actuators in the affect recognition algorithms. Exemplaires
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