@inproceedings{Wallhoff2024,
 author = {Wallhoff, F. and Hesselmann, F. T.},
 title = {Nursing Activity Recognition for Automated Care Documentation in Clinical Settings},
 abstract = {This paper introduces a concept for an assistance system that enables nursing staff in real-life clinical settings to reduce the timeconsuming nursing documentation effort, e.g. from the morning routine. The overall goal is an AI-based documentation assistant that pre-fills the documentation record. An essential constraint in collecting and processing data is the use of sensors and features that preserve people’s privacy and the acceptance of being observed. The selected sensors are known body-worn acceleration sensors as well as far-infrared based thermal scans. During the training and evaluation phase, the use of an Azure Kinect is foreseen as well. A crucial intermediate step within the AI based concept is the autonomous identification and learning of actions that form an activity that is recognised as a part of the entire routine added to the documentation. Both open data sets and self-recorded material tailored to the use case are to be used for this purpose. By checking the automatically generated documentation results after each treatment by the nursing staff, additional training material is to be constantly generated during the application operation in order to improve the pattern recognition systems in the processing layer in the long term.},
 keywords = {Assisted Documentation, Data Privacy, Human Activity Recognition, Intelligent Agents},
 publisher = {Springer},
 editor = {Bramer, M. and Stahl, F.},
 tags = {""},
 booktitle = {Artificial intelligence XLI : 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : Proceedings, Part I},
 year = {2024},
 volume = {1},
 number = {15446},
 doi = {10.1007/978-3-031-77915-2},
 isbn = {978-3-031-77914-5},
 series = {Lecture Notes in Computer Science series},
 address = {Cham},
 language = {eng},
 crossref = {Bramer2025},
 subtitle = {44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024 : Proceedings, Part I},
}