This year 11 papers have been accepted for publication.
Ergonomics and Data Synthesis
| Automating Ergonomics: Scalable AI for Technical Hand Grip Classification (Simone Borghi, Fabio Grandi, Giuliano Iotti and Margherita Peruzzini) |
| Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations (Nilah Ravi Nair, Jérôme Rutinowski, Moritz Roidl and Alice Kirchheim) |
| Toppled Realities: Challenges in Generation and Validation of Synthetic Data (Percy Lam, Weiwei Chen, Lavindra de Silva and Ioannis Brilakis) |
Activity Recognition
| Retrieval-based Annotation for Multi-Channel Time Series Data of Human Activities (Fernando Moya Rueda, Nilah Ravi Nair, Raphael Spiekermann, Erik Altermann Altermann, Philipp Oberdiek Oberdiek, Christopher Reining and Gernot A. Fink) |
| Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices (Friedrich Niemann, Fernando Moya Rueda, Moh’D Khier Al Kfari, Nilah Ravi Nair, Stefan Lüdtke and Alice Kirchheim) |
| Towards Practical, Best Practice Video~Annotation to Support Human Activity Recognition (Hoan Tran, Veronika Potter, Umberto Mazzucchelli, Dinesh John and Stephen Intille) |
Annotation of Textual Data
| Large Language Models Rival Human Performance in Historical Labeling (Fabio Celli and Valerio Basile) |
| Annotation and label validation of upper-tier tribunal decisions in immigration law (Laura Scheinert and Emma L. Tonkin) |
| Span-Level Domain-Specific Annotated Student Feedback Pilot Dataset (Zhengyuan Feng, Mengyuan Cui, Meenu Bala, Henry Agaba and Abe Kazemzadeh) |
Annotation for Healthcare Applications
| Relation Extraction from Real-World Unstructured Text in the Domain of Dementia (Sumaiya Suravee, Dipendra Yadav and Kristina Yordanova) |
| Assessing privacy-friendly local open-source voice annotation for participants with Parkinson’s disease (Emma L. Tonkin and Gregory J. L. Tourte) |