Henri Tintant face au problème "Science et Foi"

From an early age Henri Tintant was conforted with the problematic relationships between Science and Faith. After a traditional religious education, he took responsabilities within groups of teenagers and adults through scouting and the J. E. C. (an organisation of catholic students). In 1940 he was at Montpellier distributing unauthorised leaflets defending religious faith. But more significant is his intellectual contribution. He was an active and inspiring member of several workshops and in one in particumar initiated by the Catholic University of Lyon entitled : "From Naturalist to Theologians" where he would start a very fruitful and compelling intellectual collaboration with Father Gustave Martelet a jesuit theologian and a strong supporter of a permanent dialog with the scientists. Throughout the years they will gradually come to the conclusion of a necessary synergy between the scientific and the theologic approach when dealing with the mystery of religious faith . Even in the last months of his life, Henri Tintant was writing to his friendon the subject, with the same profound religious faith that brought him the serenity and the open mindness he has showed throughout his teaching and scientific career. His legacy will remain in two of his last thoughts: "Almost 50 years of scientific research have brought me a lot of pleausures and satisfactions but no answer to the essential questions. In my personal case, science and researching have not driven me away from my religious faith, on the contrary the helped me in my awareness of its utmost necessity". "Faithful to my religious belief, I am convinced that with the death, the inevitable human destiny, not everything disapears completely but another form of live, unimaginable for our limited minds, emerges, bearing in itself the perfect realization of all our hopes and desires".

Human activity recognition for an intelligent knee orthosis

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Human activity recognition with accelerometry: novel time and frequency features

Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models application. The Forward Feature Selection was adopted as the feature selection algorithm in order to improve the clustering performances and limit the computational demands. This method selects the most suitable set of features for activities recognition in accelerometry from a 423th dimensional feature vector. Several Machine Learning algorithms were applied to the used accelerometry databases – FCHA and PAMAP databases - and these showed promising results in activities recognition. The developed algorithm set constitutes a mighty contribution for the development of reliable evaluation methods of movement disorders for diagnosis and treatment applications.

Robust facial expression analysis for affect-based interaction

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Declarative approach to data extraction of web pages

Thesis submitted to Faculdade de Ciências e Tecnologia of the Universidade Nova de Lisboa, in partial fulfilment of the requirements for the degree of Master in Computer Science

SOLAP+: extending the interaction model

Thesis submitted to Faculdade de Ciências e Tecnologia of the Universidade Nova de Lisboa, in partial fulfillment of the requirements for the degree of Master in Computer Science

GI Systems for public health with an ontology based approach

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Human activity data discovery based on accelerometry

Dissertation to Obtain Master Degree in Biomedical Engineering

A distributed platform for the volunteer execution of workflows on a local area network

Thesis submitted in fulfilment of the requirements for the Degree of Master of Science in Computer Science