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…
Stvorio/la
- Koskimaki, Heli
- Siirtola, Pekka
Izdavač
- Ediciones Universidad de Salamanca (EspaÑa)
Tema
- Computación
- Informótica
- Computing
- Information Technology
- Računanje
Vrsta predmet
- ArtÍculo
- Article
Datum
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Stvorio/la
- Koskimaki, Heli
- Siirtola, Pekka
Izdavač
- Ediciones Universidad de Salamanca (EspaÑa)
Tema
- Computación
- Informótica
- Computing
- Information Technology
- Računanje
Vrsta predmet
- ArtÍculo
- Article
Datum
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Institucija iz koje dolazi
Agregator
Uvjeti korištenja medija u ovom zapisu (osim ako nije drugačije navedeno)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Prava
- info:eu-repo/semantics/openAccess
Datum stvaranja
- 2017-01-09T12:03:42Z
- 2017-01-09
Identifikator
- 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
Jezik
- eng
Država iz koje dolazi
- Spain
Naziv zbirke
Prvi put objavljeno na Europeana
- 2017-07-07T14:05:34.056Z
Zadnji put ažurirano od institucije koja pruža podatke
- 2017-07-07T14:05:34.056Z