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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Deep Learning-Based Action Detection for Continuous Quality Control in Interactive Assistance Systems
Exploring Users' Eye Movements when Using Projection-Based Assembly Assistive Systems
A checklist based approach for evaluating augmented reality displays in industrial applications
Managing complexity: Towards intelligent error-handling assistance trough interactive alarm flood reduction
Teaching by Demonstrating - How Smart Assistive Systems can Learn from Users
Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation
A multi-level localization system for intelligent user interfaces
One-Hand Controller for Human-Drone Interaction - a Human-Centered Prototype Development
Handling Work Complexity with AR/Deep Learning
Towards a framework for assistance systems to support work processes in smart factories