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 c...

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Veröffentlicht in:	Computer (Long Beach, Calif.) Jg. 51; H. 5; S. 50 - 59
Hauptverfasser:	Plotz, Thomas, Guan, Yu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Analytical models artificial intelligence complexity Computation Computational modeling Computer vision Data mining Data models Deep learning embedded systems Feature extraction HAR Human activity recognition intelligent systems Machine learning mobile mobile and embedded deep learning Mobile computing modeling Natural language processing Pattern recognition Speech recognition Voice recognition
ISSN:	0018-9162, 1558-0814
Online-Zugang:	Volltext
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