Friedrich Niemann
PhD Student
Chair of Materials Handling and Warehousing

Christopher Reining
Principal Research Fellow
Chair of Materials Handling and Warehousing

Hülya Bas
PhD Student
Chair of Materials Handling and Warehousing

Sven Franke
PhD Student
Chair of Materials Handling and Warehousing

Applications of human activity recognition in industrial processes - Synergy of human and technology

Logistics and Intralogistics Systems

Human-technology collaboration relies on verbal and non-verbal communication. Machines must be able to detect and understand the movements of humans to facilitate non-verbal communication. In this article, we introduce ongoing research on human activity recognition in intralogistics, and show how it can be applied in industrial settings. We show how semantic attributes can be used to describe human activities flexibly and how context informantion increases the performance of classifiers to recognise them automatically. Beyond that, we present a concept based on a cyber-physical twin that can reduce the effort and time necessary to create a training dataset for human activity recognition. In the future, it will be possible to train a classifier solely with realistic simulation data, while maintaining or even increasing the classification performance.

Host city and venue - Belgrade

Belgrade is the capital and largest city of Serbia and a city of very tumultuous history. Belgrade was the capital of Yugoslavia from 1918 to 1991. It is located at the confluence of the Sava and Danube rivers, where the Pannonian Plain meets the Balkans. It is one of the oldest cities in Europe and since ancient times it has been an important traffic focal point, an intersection of the roads of Eastern and Western Europe. Read more...

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