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
Pubblikatur
- Ediciones Universidad de Salamanca (EspaÑa)
Suġġett
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Tip ta' oġġett
- ArtÍculo
- Article
Data
- 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
Pubblikatur
- Ediciones Universidad de Salamanca (EspaÑa)
Suġġett
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Tip ta' oġġett
- ArtÍculo
- Article
Data
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Istituzzjoni fornitriċi
Aggregatur
Dikjarazzjoni tad-drittijiet tal-midja f'dan ir-rekord (sakemm mhux speċifikat mod ieħor)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Drittijiet
- info:eu-repo/semantics/openAccess
Data tal-ħolqien
- 2017-01-09T12:03:42Z
- 2017-01-09
Identifikatur
- 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
Lingwa
- eng
Pajjiż fornitur
- Spain
Isem il-kollezzjoni
L-ewwel darba ppubblikata fuq Europeana
- 2017-07-07T14:05:34.056Z
L-aħħar aġġornament mill-istituzzjoni fornitriċi
- 2017-07-07T14:05:34.056Z