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

Sensors
Giorgio BiagettiClaudio Turchetti

Abstract

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.

References

Nov 6, 2009·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Hassan GhasemzadehBalakrishnan Prabhakaran
Jan 7, 2010·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Serge H RoyCarlo J De Luca
Oct 23, 2012·IEEE Transactions on Bio-medical Engineering·David Naranjo-HernándezMiguel Ángel Estudillo-Valderrama
Jan 30, 2013·Nihon Hoshasen Gijutsu Gakkai zasshi·Tomohisa Fukunaga
Apr 23, 2013·Medicine and Science in Sports and Exercise·Andrea ManniniWilliam Haskell
Nov 30, 2013·TheScientificWorldJournal·Federico Castanedo
Sep 13, 2014·IEEE Journal of Biomedical and Health Informatics·Giorgio BiagettiClaudio Turchetti
Apr 19, 2015·Biomedical Engineering Online·Fen MiaoIdowu Ayoola
Feb 19, 2016·IEEE Journal of Biomedical and Health Informatics·Giorgio BiagettiClaudio Turchetti
Jan 24, 2017·IEEE Transactions on Bio-medical Engineering· Liangying Peng Gencai Chen
Nov 22, 2018·Biomedical Engineering Online·Giorgio BiagettiClaudio Turchetti

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