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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...

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Published in:Computer (00189162) Vol. 51; no. 5; pp. 50 - 60
Main Authors: Plotz, Thomas, Guan, Yu
Format: Article
Published: IEEE May2018
Subjects:
Deep learning
Human activity recognition
Mobile computing
Computer vision
Problem solving
Online Access:View this record in EBSCOhost
Summary: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.