Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments
Human activity recognition is a challenging problem for context-aware systems and applications. It is gaining interest due to the ubiquity of different sensor sources, wearable smart objects, ambient sensors, etc. This task is usually approached as a supervised machine learning problem, where a labe...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2018-04-01
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| Col·lecció: | Sensors |
| Matèries: | |
| Accés en línia: | http://www.mdpi.com/1424-8220/18/4/1288 |
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