Abstract
Emotion's definition, identification, systematic induction and efficient and reliable classification have been themes to which several complementary knowledge areas such as psychology, medicine and computer science have been dedicating serious investments. This project consists in developing an automatic tool for emotion assessment based on a dynamic biometric data acquisition set as galvanic skin response and electroencephalography arc practical examples. The output of standard emotional induction methods is the support for classification based on data analysis and processing. The conducted experimental sessions, alongside with the developed support tools, allowed the extraction on conclusions such as the capability of effectively performing automatic classification of the subject's predominant emotional state. Self assessment interviews validated the developed tool's success rate of approximately 75%. It was also experimentally strongly suggested that female subjects are emotionally more active and easily induced than mates.

Abstract
The identification and assessment of human being emotional states belongs to one of the primordial objectives of the scientific research in disparate areas such as artificial intelligence, medicine or psychology. The main objective of this project is related to automatic assessment of a subject's basic emotional states by using electroencephalography as a source for biometric data acquisition. This evaluation is based on predefined mechanisms of emotional induction, as well as specific methods and tools capable of data analysis and processing. From the experimental results attained in several experimental sessions and through the support tools developed, the most pertinent conclusion extracted from this work refers to the capability of effectively performing automatic classification of the subject's predominant emotional state. The emotional conditions were induced through the presentation of specific visual multimedia contents. The success rate of this tool, compared against the self assessment interviews carried out immediately after the experimental session, was approximately 75%. It was also experimentally concluded that female subjects are emotionally more demonstrative than the male ones.

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Nowadays soccer is more than a sport, it is a business industry. Providing financial support to a senior team is a constant challenge for club managers. Flaying this in mind the most relevant factors for a club's life are the game results. They can ensure, amongst other aspects, the continuity of a soccer coach. As a consequence of that, systems supporting decisions represent fundamental tools not only for match' analysis but also to support training sessions. In the literature most academic advances are camera-based solutions and still face some technical issues like occlusion problems and high computational demands. This research project presents new portable and inexpensive soccer analysis software using as base a Wi-Fi real-time tracking system able to identify typical player movements all over a penalty box. The data gathered over a training session constitutes good results especially in what concerns accuracy, thus confirming its robustness and applicability as a tool for scientific soccer analysis and as a valuable support for practical soccer training session. In the future the usage of high-end wireless equipment will increase the system's accuracy and also the coverable area.