Dissertação apresentada para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores, na Faculdade de Engenharia da Universidade do Porto, sob a orientação do Prof. Doutor Adriano da Silva Carvalho
Nowadays, the assessment of body composition is of great meaning but traditional skinfold callipers recognized in the nutritional area have not been technologically updated to provide a more effective performance with greater accuracy, allowing automatic data processing and recording in a database, offering a more user friendly handling not requiring technicians with a high degree of expertise. In order to over...
Abstract: The amount of fat in human body composition relative to total body weight (%BF) is considered a determinant factor to a healthier and longer life. In this paper a neural network approach, that overcomes some of the current limitations of assessing %BF through skinfold thickness measurement with calliper devices, is presented. Neural networks recognised capabilities in modelling nonlinear problems can ...
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