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Deep Learning for Human Activity Recognition in Mobile Computing

Lookup NU author(s): Dr Thomas Ploetz, Dr Yu GuanORCiD

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Abstract

© 1970-2012 IEEE. 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.

Publication metadata

Author(s): Plotz T, Guan Y

Publication type: Article

Publication status: Published

Journal: Computer

Year: 2018

Volume: 51

Issue: 5

Pages: 50-59

Print publication date: 01/05/2018

Online publication date: 24/05/2018

Acceptance date: 02/04/2018

ISSN (print): 0018-9162

Publisher: IEEE Computer Society

URL: https://doi.org/10.1109/MC.2018.2381112

DOI: 10.1109/MC.2018.2381112

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