Many technological barriers must be tackled in order to provide tools in Sign Languages (SLs) in the same way as for spoken languages. For that aim, further insights must be gained into multiple disciplines, in particular motion science. More specifically, the present thesis aims to gain insights into the possibility of anonymizing the movements of...
Many technological barriers must be tackled in order to provide tools in Sign Languages (SLs) in the same way as for spoken languages. For that aim, further insights must be gained into multiple disciplines, in particular motion science. More specifically, the present thesis aims to gain insights into the possibility of anonymizing the movements of...
This thesis presents three contributions to improve the recognition of motor imaginary movements used by numerous brain-computer interfaces (BCI) as types of interaction. First of all, we propose to estimate the quality of motor images by detecting outliers and removing them before training. Next, we study the feature selection for seven different ...
L’identification des actions simples de la vie quotidienne (comme marcher, s’asseoir ...) à partir des vidéos est importante pour un système de reconnaissance d’activités humaines dont le but est l’amélioration de la sécurité et le confort des personnes. Cette thèse étudie le problème de la reconnaissance d’actions humaines en utilisant des images ...
L'objectif de cette thèse est de proposer un système de reconnaissance automatique des émotions (RAE) par analyse de la voix pour une application dans un contexte pédagogique d'orchestration de classe. Ce système s'appuie sur l'extraction de nouvelles caractéristiques, par démodulation en amplitude et en fréquence, de la voix ; considérée comme un ...
Le quantile périodogramme développé par Li (2012) est une nouvelle approche qui fournit une information plus étendue et plus riche par rapport au périodogramme ordinaire. Cependant, il souffre d'instabilité de performance dans le cas de présence de plusieurs périodicités dominantes ou dans le cas de données bruitées. Cela est du à la fuite spectral...
Image segmentation has become an indispensable task that is widely employed in several image processing applications including object detection, object tracking, automatic driver assistance, and traffic control systems, etc. The literature abounds with algorithms for achieving image segmentation tasks. These methods can be divided into some main gr...
Most ABE algorithms exploit contextual information or memory captured via the use of static or dynamic features extracted from neighbouring speech frames. The use of memory leads to higher dimensional features and increased computational complexity. When information from look-ahead frames is also utilised, then latency also increases. Past work poi...
Alzheimer's disease (AD) is becoming the dominant type of neurodegenerative brain disease in elderly people, which is incurable and irreversible for now. It is expected to diagnose its early stage, Mild Cognitive Impairment (MCI), then interventions can be applied to delay the onset. Fluorodeoxyglucose positron emission tomography (FDG-PET) is cons...
This work aims at developing a generic framework which is able to produce camera-based applications of information spotting in huge repositories of heterogeneous content document images via local descriptors. The targeted systems may take as input a portion of an image acquired as a query and the system is capable of returning focused portion of da...
