A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

Human activity recognition has become an important research topic within the field of pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and many more. Techniques for recognizing simple and single activities are typical for now, but recognizing complex activities...

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Bibliographic Details
Main Authors:	Keshav Thapa, Zubaer Md. Abdullah Al, Barsha Lamichhane, Sung-Hyun Yang
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Sensors
Subjects:	concurrent interleaved RNN BiLSTM SCCRF activity recognition
Online Access:	https://www.mdpi.com/1424-8220/20/20/5770

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