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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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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Biagetti, Giorgio, Crippa, Paolo, Falaschetti, Laura, Turchetti, Claudio
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2018
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6164365/
https://ncbi.nlm.nih.gov/pubmed/30158443
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092850
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