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…
Looja
- Koskimaki, Heli
- Siirtola, Pekka
Kirjastus
- Ediciones Universidad de Salamanca (EspaÑa)
Teema
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Üksuse liik
- ArtÍculo
- Article
Kuupäev
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Looja
- Koskimaki, Heli
- Siirtola, Pekka
Kirjastus
- Ediciones Universidad de Salamanca (EspaÑa)
Teema
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Üksuse liik
- ArtÍculo
- Article
Kuupäev
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Pakkuja institutsioon
Agregaator
Selles üksuses sisalduva meedia õiguste avaldus (kui pole teisiti märgitud)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Õigused
- info:eu-repo/semantics/openAccess
Loomise kuupäev
- 2017-01-09T12:03:42Z
- 2017-01-09
Identifikaator
- 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
Formaat
- application/pdf
Keel
- eng
Pakkuja riik
- Spain
Kollektsiooni nimi
Esimest korda avaldati Europeana
- 2017-07-07T14:05:34.056Z
Viimati andmeid pakkuvast institutsioonist uuendatud
- 2017-07-07T14:05:34.056Z