Human Activity Recognition for Production and Logistics—A Systematic Literature Review

Human Activity Recognition for Production and Logistics—A Systematic Literature Review

This contribution provides a systematic literature review of Human Activity Recognition for Production and Logistics. An initial list of 1243 publications that complies with predefined Inclusion Criteria was surveyed by three reviewers. Fifty-two publications that comply with the Content Criteria we...

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Bibliographic Details
Main Authors: Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Information
Subjects:
Human Activity Recognition
production
Logistics
Motion Capturing
Inertial Measurement Unit
accelerometer
deep learning
statistical pattern recognition
Online Access:https://www.mdpi.com/2078-2489/10/8/245

Internet

https://www.mdpi.com/2078-2489/10/8/245

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