Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders

Activity recognition has received considerable attention in many research fields, such as industrial and healthcare fields. However, many researches about activity recognition have focused on static activities and dynamic activities in current literature, while, the transitional activities, such as...

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Bibliographic Details
Main Authors:	Qin Ni, Zhuo Fan, Lei Zhang, Chris D. Nugent, Ian Cleland, Yuping Zhang, Nan Zhou
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Sensors
Subjects:	activity recognition transitional activities stacked denoising autoencoders wearable sensors resampling technique
Online Access:	https://www.mdpi.com/1424-8220/20/18/5114

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