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.

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

Selected excellent papers will be invited to submit an extended version of their workshop submission for a special issue in the MDPI Sensors Open Access Journal.

MDPI offers a discount on the publication processing fee of 10% for iWOAR participants. In addition to this, authors from IOAP institutes will receive an extra discount (http://www.mdpi.com/about/ioap).