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Introduction
Mes activités de recherche sont centrées sur les facteurs Humains et plus particulièrement les sciences cognitives. J’ai pu coordonner une équipe et collaborer à la mise en place d’une plate-forme de reconnaissance automatique d’état cognitif via le croisement de méthodes de Machine Learning, de psychophysiologie et d’instrumentation physiologique. Ces années m’ont permis de publier avec l'équipe plusieurs papiers scientifiques et mener des collaborations avec des groupes industriels comme Ubiso
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Current institution
Publications
Publications (10)
This paper describes an "all-in-one" solution for the real-time recognition of users' mental workloads in virtual reality through the cus-tomization of a commercial HMD with physiological sensors. First, we describe the hardware and software solution employed to build the system. Second, we detail the machine learning methods used for the automatic...
Virtual Reality (VR) is spreading to the general public but still has a major issue: VR sickness. To take it into consideration and minimize its occurrence, evaluation methods are required. The current methods are mainly based on subjective measurements and therefore have several drawbacks (e.g., non-continuous, intrusive). Physiological signals co...
Emotion recognition is currently a major challenge for affective computing. Various modalities (e.g., speech, face) have been already explored, and recognition from physiological data seems an interesting approach. Nevertheless, the current solutions are generally based on laboratory sensors and/or a controlled situation. But the development of wea...
Virtual Reality (VR) sickness seems one of the main limitations to the large-scale adoption of VR technologies. This disturbance seems to induce physiological changes that affect the sympathetic and parasympathetic activities of the users. Thereby, it seems relevant to measure users' physiological data in order to prevent and reduce VR sickness. Th...
Emotion recognition is an important research topic. Physiological signals seem to be an appropriate way for emotion recognition and specific sensors are required to collect these data. Therefore, laboratory sensors are commonly used while the number of wearable devices including similar physiological sensors is growing up. Many studies have been co...
Evaluation of stress is mainly based on standardized scales [1]. However, fill out questionnaires can be incompatible with several situations (e.g. during chirurgical intervention) [2] and offers only subjective and punctual data. Physiological measures, which provided real-time and objective data [3], can be used to cope with these constrains. To...
Poster session in Dublin 2016.
Ebola virus disease (EVD) is a life-threatening condition. Appropriate management of organ failure, hemodynamic instability, and metabolic disorders significantly improves survival. This implies that life-saving procedures are undertaken in case of need, including endotracheal intubation, nasogastric tube placement and central venous catheter (CVC)...
