Work

Deep Learning for Human Activity Recognition in Mobile Computing

Year: 2018

Type: article

Abstract: 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.

Source: Computer

DOI: 10.1109/mc.2018.2381112

Authors: Thomas Plotz, Yu Guan

Institutions: Georgia Institute of Technology, Newcastle University

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Award: CRITiCaL - Combatting cRiminals In The CLoud