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…
Skaberen
- Koskimaki, Heli
- Siirtola, Pekka
Udgiver
- Ediciones Universidad de Salamanca (EspaÑa)
Emne
- Computación
- Informótica
- Computing
- Information Technology
- Databehandling
Type af genstand
- ArtÍculo
- Article
Dato
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Skaberen
- Koskimaki, Heli
- Siirtola, Pekka
Udgiver
- Ediciones Universidad de Salamanca (EspaÑa)
Emne
- Computación
- Informótica
- Computing
- Information Technology
- Databehandling
Type af genstand
- ArtÍculo
- Article
Dato
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Ejerinstiution
Aggregator
Rettigheder for medierne i denne optagelse (medmindre andet er angivet)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Rettigheder
- info:eu-repo/semantics/openAccess
Oprettelsesdato
- 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
Sprog
- eng
Leverende land
- Spain
Navn på samling
Første gang offentliggjort på Europeana
- 2017-07-07T14:05:34.056Z
Sidste gang opdateret fra den ejerinstiution
- 2017-07-07T14:05:34.056Z