9:00 – 9:15 Introductions
9:15 – 10:10 Invited talk: Stefan Lüdtke, University of Rostock: Thriving on Less: Coping with Label Scarcity in Sensor-based Human Activity Recognition
10:10 – 10:30 Best paper (Towards Practical, Best Practice Video Annotation to Support Human Activity Recognition)
10:30 – 11:00 – Coffee break
11:00 – 11:45 Session 1: Activity recognition
Retrieval-based Annotation for Multi-Channel Time Series Data of Human Activities
Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices
11:45 – 12:30 Session 2: Annotation for healthcare applications
Relation Extraction from Real-World Unstructured Text in the Domain of Dementia
Assessing privacy-friendly local open-source voice annotation for participants with Parkinson’s disease
12:30 – 14:00 Lunch
14:00 -15:10 Session 3: Ergonomics and data synthesis
Automating Ergonomics: Scalable AI for Technical Hand Grip Classification
Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations
Toppled Realities: Challenges in Generation and Validation of Synthetic Data
15:10 – 15:30 Session 4: Annotation of textual data
Large Language Models Rival Human Performance in Historical Labeling
15:30 – 16:00 Coffee break
16:00 – 16:45 Session 4: Annotation of textual data (continued)
Annotation and label validation of upper-tier tribunal decisions in immigration law
Span-Level Domain-Specific Annotated Student Feedback Pilot Dataset
16:45 – 17:15 Discussion: Future Directions and Trends in Annotation for AI Systems
17:15 – 17:30 Closing remarks