Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data
Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented to the phone and the whole classification process (preprocessing, feature ext...
Gardado en:
| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Universidad Internacional de La Rioja (UNIR)
2012-06-01
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| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Assuntos: | |
| Acceso en liña: | https://www.ijimai.org/index.php/ijimai/article/view/5881 |
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