Combining Supervised and Unsupervised Learning Algorithms for Human Activity Recognition

Human activity recognition is an extensively researched topic in the last decade. Recent methods employ supervised and unsupervised deep learning techniques in which spatial and temporal dependency is modeled. This paper proposes a novel approach for human activity recognition using skeleton data. T...

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Bibliographic Details
Main Authors: Elena-Alexandra Budisteanu, Irina Georgiana Mocanu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/18/6309