Alin Moldoveanu

TL;DR: There is a strong need for recommended learning materials, for specialized online search and for personalized learning tools, and a recommendation method for educational materials and tools is proposed, with an integrated learning style finder.

TL;DR: An overview of techniques that have been developed for sensory substitution for the blind, through both touch and audition, with special emphasis on the importance of training for the use of such devices, while highlighting potential pitfalls in their design.

TL;DR: An overview of the computer vision based indoor localization domain is offered, presenting application areas, commercial tools, existing benchmarks, and other reviews, and proposing a new classification based on the configuration stage (use of known environment data), sensing devices, type of detected elements, and localization method.

TL;DR: Both the hardware and software used for developing this computer vision based sensory substitution device for the visually impaired are revealed and insight on its exploitation in various scenarios is provided.

TL;DR: A comparative study between various machine and deep learning techniques, with and without feature selection, for recognizing and classifying fear levels based on the electroencephalogram (EEG) and peripheral data from the DEAP (Database for Emotion Analysis using Physiological signals) database.