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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…
Creator
- Koskimaki, Heli
- Siirtola, Pekka
Publisher
- Ediciones Universidad de Salamanca (EspaÑa)
Subject
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Type of item
- ArtÍculo
- Article
Date
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Creator
- Koskimaki, Heli
- Siirtola, Pekka
Publisher
- Ediciones Universidad de Salamanca (EspaÑa)
Subject
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Type of item
- ArtÍculo
- Article
Date
- 2017-01-09T12:03:42Z
- 2017-01-09T12:03:42Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Rights
- info:eu-repo/semantics/openAccess
Creation date
- 2017-01-09T12:03:42Z
- 2017-01-09
Identifier
- 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
Language
- eng
Providing country
- Spain
Collection name
First time published on Europeana
- 2017-07-07T14:05:34.056Z
Last time updated from providing institution
- 2017-07-07T14:05:34.056Z