Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, especially in the case of online and personalized appro...

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Bibliographic Details
Main Authors: Federico Cruciani, Ian Cleland, Chris Nugent, Paul McCullagh, Kåre Synnes, Josef Hallberg
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
human activity recognition
supervised machine learning
label noise
automatic annotation
inertial sensors
smartphone
Online Access:http://www.mdpi.com/1424-8220/18/7/2203

Internet

http://www.mdpi.com/1424-8220/18/7/2203

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