The iWOAR is an international workshop with conference character, which is organised by the Technische Hochschule Lübeck, the University of Lübeck and Fraunhofer IMTE. This year's workshop will be held in Lübeck (Germany) between September 21-22, 2023. The workshop focuses on Human Activity Recognition and Artificial Intelligence with wearable sensors and related technologies. This year’s symposium will feature as keynote speaker the presence of Prof. Dr. Björn Eskofier, head of the Machine Learning and Data Analytics at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (Germany), and prominent name in the field of medical wearable computing.

All scientific submissions undergo a peer review process to ensure that high quality content is being presented. We invite submissions which target (but are not limited to) the following topics and applications:

Human Activity Recognition
Human Centred Artificial Intelligence
Human Centred Machine Learning
Human Data Imputation / Augmentation / Representation / Classification
Human Behaviour Intention Recognition
Quantified Self
Affective Computing
Context Awareness
Human Computer Interaction
Intelligent User Interfaces
Pervasive & Wearable Computing
Cyber Physical & Human Systems
Assistive Technologies
Ambient Assisted Living
Active & Healthy Ageing
Personalised Diagnostics and Therapy
Telemedicine and Biotechnology
Occupational Safety, Healthcare and Wellness
Industry 4.0
Smart Cities & Urban Environments
Digital Health

We invite for academic research papers and for best-practice industrial research approaches. The submission deadline is set to June 1, 2023. All submissions must follow the ACM SIGCHI Paper Format and are handled via EasyChair (paper submission link: https://easychair.org/my/conference?conf=iwoar2023).

Accepted submissions will be published in the iWOAR 2023 Proceedings online in the ACM Digital Library.