Neural networks based approach to estimate body fat (%BF)

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Manuel R. Barbosa (Author) FEUP; Teresa Amaral (Author) FCNAUP; Maria de Fátima Chousal (Author) FEUP; Maria Teresa Restivo (Author) FEUP

Conference proceedings National

Title: CONTROLO2010

Pages: 1-5

CONTROLO' 2010: 9th Portuguese Conference on Automatic Control

Coimbra, 8 a 10 Setembro de 2010

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences ; Health sciences

Other information

Abstract (EN): 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 provide a valuable tool to deal with the inherent nonlinear behaviour of body tissues. The approach was tested on a sample of elder individuals, men and women, showing better performance when compared with two available alternative methodologies.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5