Accelerometer vs. Electromyogram in Activity Recognition
In this study, information from wearable sensors is used to recognize human activities. Commonly the approaches are based on accelerometer data while in this study the potential of electromyogram (EMG) signals in activity recognition is studied. The electromyogram data is used in two different scenarios: 1) recognition of completely new activities in real life and 2) to recognize the individual ac…
Créateur
- Koskimaki, Heli
- Siirtola, Pekka
Éditeur
- Ediciones Universidad de Salamanca (EspaÑa)
Thème
- Computación
- Informótica
- Computing
- Information Technology
- Technologie informatique
Type d'item
- ArtÍculo
- Article
Date
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Créateur
- Koskimaki, Heli
- Siirtola, Pekka
Éditeur
- Ediciones Universidad de Salamanca (EspaÑa)
Thème
- Computación
- Informótica
- Computing
- Information Technology
- Technologie informatique
Type d'item
- ArtÍculo
- Article
Date
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Institution partenaire
Agrégateur
Licence du support dans cet enregistrement (sauf indication contraire)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Droits
- info:eu-repo/semantics/openAccess
Date de création
- 2017-01-09T12:03:42Z
- 2017-01-09
Identificateur
- oai:gredos.usal.es:10366/132090
- ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5 (2016)
- 2255-2863
- http://hdl.handle.net/10366/132090
Format
- application/pdf
Langue
- eng
Pays fournisseur
- Spain
Nom de la collection
Première publication sur Europeana
- 2017-07-07T14:05:34.056Z
Dernière mise à jour de l'Institution partenaire
- 2017-07-07T14:05:34.056Z