Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4830
Título: Relevant elderly gait features for functional fitness level grouping
Autor: Santos, M. S.
Moniz-Pereira, V.
Lourenço, André Ribeiro
Fred, Ana Luísa Nobre
Veloso, António
Palavras-chave: Clustering
Elderly Population
Feature Selection
Functional Fitness Level
Kinematic and Kinetic Parameters
Data: 2014
Editora: SciTePress - Science and Technology Publications
Citação: SANTOS, M. S.; [et al] – Relevant elderly gait features for functional fitness level grouping. In Proceedings of the International Conference on Physiological Computing Systems. SciTePress - Science and Technology Publications, 2014. ISBN: 978-989758006-2. p. 153-160.
Resumo: Locomotor tasks characterization plays an important role in trying to improve the quality of life of a growing elderly population. This paper focuses on this matter by trying to characterize the locomotion of two population groups with different functional fitness levels (high or low) while executing three different tasks-gait, stair ascent and stair descent. Features were extracted from gait data, and feature selection methods were used in order to get the set of features that allow differentiation between functional fitness level. Unsupervised learning was used to validate the sets obtained and, ultimately, indicated that it is possible to distinguish the two population groups. The sets of best discriminate features for each task are identified and thoroughly analysed. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4830
ISBN: 978-989758006-2
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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