Development of procedures for the design, optimization and manufacturing of customized orthopaedic and trauma implants: Geometrical/anatomical modelling from 3D medical imaging

Tese de Doutoramento (Programa Doutoral em Engenharia Biomédica)

7to77, A new database querying experience

Nowadays, the vulgarization of information and communication technologies has reached to a level that the majority of people spend a lot of time using software to do regular tasks, ranging from games and ordinary time and weather utilities to some more sophisticated ones, like retail or banking applications. This new way of life is supported by the Internet or by specific applications that changed the image people had about using information and communication technologies. All over the world, the first cycle of studies of educational systems also has been addressed with the justification that this encourages the development of children. Taking this into consideration, we design and develop a visual explorer system for relational databases that can be used by everyone, from “7 to 77”, in an intuitive and easy way, getting immediate results – a new database querying experience. Thus, in this paper we will expose the main characteristics and features of this visual database explorer, showing how it works and how it can be used to execute the most current data manipulation operations over a database.

Cognitive functioning and efficacy of cognitive intervention in Multiple Sclerosis

Tese de Doutoramento em Psicologia Clínica / Psicologia

Automatic eye blink detection using consumer web cameras

This research aims to advance blinking detection in the context of work activity. Rather than patients having to attend a clinic, blinking videos can be acquired in a work environment, and further automatically analyzed. Therefore, this paper presents a methodology to perform the automatic detection of eye blink using consumer videos acquired with low-cost web cameras. This methodology includes the detection of the face and eyes of the recorded person, and then it analyzes the low-level features of the eye region to create a quantitative vector. Finally, this vector is classified into one of the two categories considered —open and closed eyes— by using machine learning algorithms. The effectiveness of the proposed methodology was demonstrated since it provides unbiased results with classification errors under 5%