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…
Sortzailea
- Koskimaki, Heli
- Siirtola, Pekka
Argitaletxea
- Ediciones Universidad de Salamanca (EspaÑa)
Gaia
- Computación
- Informótica
- Computing
- Information Technology
- Informatika
Elementu mota
- ArtÍculo
- Article
Data
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Sortzailea
- Koskimaki, Heli
- Siirtola, Pekka
Argitaletxea
- Ediciones Universidad de Salamanca (EspaÑa)
Gaia
- Computación
- Informótica
- Computing
- Information Technology
- Informatika
Elementu mota
- ArtÍculo
- Article
Data
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Erakunde hornitzailea
Agregatzailea
Elementu honen baimenen egoera (besterik adierazi ezean)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Baimenak
- info:eu-repo/semantics/openAccess
Sortze data
- 2017-01-09T12:03:42Z
- 2017-01-09
Identifikatzailea
- 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
Formatua
- application/pdf
Hizkuntza
- eng
Herrialde hornitzailea
- Spain
Bildumaren izena
Lehenengo aldiz argitaratua Europeana-n
- 2017-07-07T14:05:34.056Z
Erakunde hornitzaileak azken aldiz eguneratu du
- 2017-07-07T14:05:34.056Z