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Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization

The human activity diarization using wearable technologies is one of the most important supporting techniques for ambient assisted living, sport and fitness activities, healthcare of elderly people. The activity diarization is performed in two steps: the acquisition of body signals and the classific...

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Detalles Bibliográficos
Autores principales: Biagetti, Giorgio, Crippa, Paolo, Falaschetti, Laura, Turchetti, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164365/
https://www.ncbi.nlm.nih.gov/pubmed/30158443
http://dx.doi.org/10.3390/s18092850
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author Biagetti, Giorgio
Crippa, Paolo
Falaschetti, Laura
Turchetti, Claudio
author_facet Biagetti, Giorgio
Crippa, Paolo
Falaschetti, Laura
Turchetti, Claudio
author_sort Biagetti, Giorgio
collection PubMed
description The human activity diarization using wearable technologies is one of the most important supporting techniques for ambient assisted living, sport and fitness activities, healthcare of elderly people. The activity diarization is performed in two steps: the acquisition of body signals and the classification of activities being performed. This paper presents a technique for data fusion at classifier level of accelerometer and sEMG signals acquired by using a low-cost wearable wireless system for monitoring the human activity when performing sport and fitness activities, as well as in healthcare applications. To demonstrate the capability of the system of diarizing the user’s activities, data recorded from a few subjects were used to train and test the automatic classifier for recognizing the type of exercise being performed.
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spelling pubmed-61643652018-10-10 Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization Biagetti, Giorgio Crippa, Paolo Falaschetti, Laura Turchetti, Claudio Sensors (Basel) Article The human activity diarization using wearable technologies is one of the most important supporting techniques for ambient assisted living, sport and fitness activities, healthcare of elderly people. The activity diarization is performed in two steps: the acquisition of body signals and the classification of activities being performed. This paper presents a technique for data fusion at classifier level of accelerometer and sEMG signals acquired by using a low-cost wearable wireless system for monitoring the human activity when performing sport and fitness activities, as well as in healthcare applications. To demonstrate the capability of the system of diarizing the user’s activities, data recorded from a few subjects were used to train and test the automatic classifier for recognizing the type of exercise being performed. MDPI 2018-08-29 /pmc/articles/PMC6164365/ /pubmed/30158443 http://dx.doi.org/10.3390/s18092850 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Biagetti, Giorgio
Crippa, Paolo
Falaschetti, Laura
Turchetti, Claudio
Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
title Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
title_full Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
title_fullStr Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
title_full_unstemmed Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
title_short Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
title_sort classifier level fusion of accelerometer and semg signals for automatic fitness activity diarization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164365/
https://www.ncbi.nlm.nih.gov/pubmed/30158443
http://dx.doi.org/10.3390/s18092850
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