LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes

LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes

Optimizations in logistics require recognition and analysis of human activities. The potential of sensor-based human activity recognition (HAR) in logistics is not yet well explored. Despite a significant increase in HAR datasets in the past twenty years, no available dataset depicts activities in l...

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Bibliographic Details
Main Authors: Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
human activity recognition
attribute-based representation
dataset
motion capturing
inertial measurement unit
logistics
Online Access:https://www.mdpi.com/1424-8220/20/15/4083

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