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…
Kreatur
- Koskimaki, Heli
- Siirtola, Pekka
Založnik
- Ediciones Universidad de Salamanca (EspaÑa)
Zadeva
- Computación
- Informótica
- Computing
- Information Technology
- Računalništvo
Vrsta enota
- 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
Kreatur
- Koskimaki, Heli
- Siirtola, Pekka
Založnik
- Ediciones Universidad de Salamanca (EspaÑa)
Zadeva
- Computación
- Informótica
- Computing
- Information Technology
- Računalništvo
Vrsta enota
- 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
Ponudnik podatkov
Agregator
Licenca za medije v tem enota (če ni navedeno drugače)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Pravice
- info:eu-repo/semantics/openAccess
Datum ustvarjanja
- 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
Oblika
- application/pdf
Jezik
- eng
Država izvora
- Spain
Ime zbirke
Prvič objavljeno na Europeana
- 2017-07-07T14:05:34.056Z
Zadnjič posodobljeno s strani ponudnika podatkov
- 2017-07-07T14:05:34.056Z