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High-level Representation of Behavioral Model based on the conceptual (HBOnto) and computatiol approaches (TF-IDF). Human Behavior Ontology (HBOnto) contains the relationships between human activities and geo-objects and times
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
Implementation of visualisations presented in the paper ‘Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions’
Travail réalisé dans le cadre du cours de Statistique descriptive et DW, au sein de la Faculté de sciences de Kénitra(Master Big Data et Cloud Computing )