Deep Learning for Human Activity Recognition in Mobile Computing.
By leveraging advances in deep learning, challenging pattern recognition problems have been solved in computer vision, speech recognition, natural language processing, and more. Mobile computing has also adopted these powerful modeling approaches, delivering astonishing success in the field’s core a...
| Publicado en: | Computer (00189162) Vol. 51; no. 5; pp. 50 - 60 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
IEEE
May2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | By leveraging advances in deep learning, challenging pattern recognition problems have been solved in computer vision, speech recognition, natural language processing, and more. Mobile computing has also adopted these powerful modeling approaches, delivering astonishing success in the field’s core application domains, including the ongoing transformation of human activity recognition technology through machine learning. |
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