Pieteikties, lai skatītu šo digitālo objektu citās valodās
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…
Autors
- Koskimaki, Heli
- Siirtola, Pekka
Izdevējs
- Ediciones Universidad de Salamanca (EspaÑa)
Temats
- Computación
- Informótica
- Computing
- Information Technology
- Datorika
Digitālais objekts veids
- ArtÍculo
- Article
Datums
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Autors
- Koskimaki, Heli
- Siirtola, Pekka
Izdevējs
- Ediciones Universidad de Salamanca (EspaÑa)
Temats
- Computación
- Informótica
- Computing
- Information Technology
- Datorika
Digitālais objekts veids
- ArtÍculo
- Article
Datums
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Piegādājošā iestāde
Agregators
Tiesību statuss šim digitālajam objektam (ja nav norādīts citādi)?
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Tiesības
- info:eu-repo/semantics/openAccess
Izveidošanas datums
- 2017-01-09T12:03:42Z
- 2017-01-09
Identifikators
- 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
Formāts
- application/pdf
Valoda
- eng
Nodrošinošā valsts
- Spain
Kolekcijas nosaukums
Pirmo reizi publicēts Europeana
- 2017-07-07T14:05:34.056Z
Pēdējoreiz atjaunināts no piegādājošās iestādes
- 2017-07-07T14:05:34.056Z