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Istituto di fisiologia clinica

Torna all'elenco Contributi in atti di convegno anno 2017

Contributo in atti di convegno

Tipo: Contributo in atti di convegno

Titolo: Physical activity recognition from sub-bandage sensors using both feature selection and extraction

Anno di pubblicazione: 2017

Autori: E. D'Andrea, F. Di Francesco2, V. Dini, B. Lazzerini, M. Romanelli, P. Salvo

Affiliazioni autori: 1- University of Pisa - Department of Information Engineering,Largo Lucio Lazzarino 1, 56122 Pisa - Italy 2- University of Pisa - Department of Chemistry and Industrial Chemistry, Via Giuseppe Moruzzi, 13, 56124 Pisa - Italy 3- University of Pisa - Department of Dermatology, Wound Healing Research Unit, Via Roma 67, 56124 Pisa - Italy 4- National Council of Research - Institute of Clinical Physiology (IFC-CNR), Via Moruzzi 1, 56124 Pisa - Italy

Autori CNR:


Lingua: inglese

Abstract: In this paper, we present a neural network-based approach to classify the activities performed by 40 subjects by analyzing sub-bandage pressure signals. The approach includes an input dimensionality reduction obtained employing both feature extraction and feature selection techniques. The results show that our model is able to classify the activities performed with 98.12% accuracy.

Lingua abstract: inglese

Pagine da: 141

Pagine a: 146

ISBN: 9782875870391

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Parole chiave:

  • neural network
  • sub-bandage sensors
  • pressure sensors
  • feature selection
  • feature extraction
  • physical activity

Congresso nome: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

Congresso luogo: Bruges (Belgium)

Congresso data: 26-28/04/2017

Congresso rilevanza: Internazionale

Congresso relazione: Contributo

Strutture CNR:

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