A Semi-Automatic Annotation Approach for Human Activity Recognition

A Semi-Automatic Annotation Approach for Human Activity Recognition

Modern smartphones and wearables often contain multiple embedded sensors which generate significant amounts of data. This information can be used for body monitoring-based areas such as healthcare, indoor location, user-adaptive recommendations and transportation. The development of Human Activity R...

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Bibliographic Details
Main Authors: Patrícia Bota, Joana Silva, Duarte Folgado, Hugo Gamboa
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
human activity recognition
machine learning
active learning
semi-supervised learning
time series
self-training
Online Access:https://www.mdpi.com/1424-8220/19/3/501

Internet

https://www.mdpi.com/1424-8220/19/3/501

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