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…
Luoja
- Koskimaki, Heli
- Siirtola, Pekka
Julkaisija
- Ediciones Universidad de Salamanca (EspaÑa)
Aihe
- Computación
- Informótica
- Computing
- Information Technology
- Komputointi
Aineisto tyyppi
- ArtÍculo
- Article
Päivämäärä
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Luoja
- Koskimaki, Heli
- Siirtola, Pekka
Julkaisija
- Ediciones Universidad de Salamanca (EspaÑa)
Aihe
- Computación
- Informótica
- Computing
- Information Technology
- Komputointi
Aineisto tyyppi
- ArtÍculo
- Article
Päivämäärä
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Aineiston tarjoaja
Aggregaattori
Tämän aineisto median lisenssi (ellei toisin mainita)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Oikeudet
- info:eu-repo/semantics/openAccess
Luomispäivä
- 2017-01-09T12:03:42Z
- 2017-01-09
Tunniste
- 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
Muoto
- application/pdf
Kieli
- eng
Alkuperämaa
- Spain
Kokoelman nimi
Julkaistu ensimmäistä kertaa Europeana
- 2017-07-07T14:05:34.056Z
Viimeksi päivitetty aineiston tarjoajalta
- 2017-07-07T14:05:34.056Z