Movement and gesture recognition using deep learning and wearable-sensor technology

Pattern recognition of time-series signals for movement and gesture analysis plays an important role in many fields as diverse as healthcare, astronomy, industry and entertainment. As a new technique in recent years, Deep Learning (DL) has made tremendous progress in computer vision and Natural Lang...

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Bibliographic Details

Main Authors:	Baao Xie, Baihua Li, Andy Harland
Format:	Default Conference proceeding
Published:	2018
Subjects:	Mechanical engineering not elsewhere classified Pattern recognition Deep learning Movement classification Wearable-sensor Time-series signals processing Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/34744
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