iWOAR 2023
21. - 22. September 2023
Lübeck, Germany

Contact: iwoar[at]@hic-luebeck[dot].de
iWOAR 2023 - 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence
21. - 22. September 2023, Lübeck
In the past years, the increasing acceptance of wearable sensors has opened new possibilities of applications aiming to better understand the human body, including (but not limited to) human activity recognition, emotion and stress recognition, pain recognition, sleep analysis, nutrition medicine. Due to their ability to collect large amounts of data in unobtrusive ways, wearable devices have attracted the interest of various actors in both the academic and industrial fields, and given them an incentive to develop solutions for the continuous monitoring of the human state in a daily life, workplace or medical context. For these reasons, wearable computing has become an active field of research, with on-going investigations to propose user-friendly and unobtrusive systems that provide high performing services.

The iWOAR is a conference-like workshop organized by the Technische Hochschule Lübeck, Universität zu Lübeck and Fraunhofer IMTE. It offers scientists, interested parties, and users in the area of human activity recognition - and on a more general level wearable computing - the possibility of an exchange of experiences, a presentation of best-practice examples, as well as technical and scientific results. The workshop focuses on technologies and methods for human activity recognition using inertial sensors (accelerometers, gyroscopes, etc.), and other applications of wearable computing related to the understanding of the human body. Thereby, the following topics and fields of application will be addressed:

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
We invite for academic research papers and for best-practice industrial research approaches. Accepted submissions will be published in the iWOAR 2023 Proceedings online in the ACM Digital Library.
This year there were 35 submissions. All submissions underwent a peer review process to assure high quality content. Each submission was reviewed by at least 2, maximum 5 and on the average 2.7, program committee members. In total, there were 95 reviews. The program committee chairs decided to accept 14 papers, which had a positive rating (> 3.0). This resulted in an overall acceptance rate of 40%. Submissions came from all other the globe including these countries: Algeria, China, Denmark, Finland, Germany, India, Iran, Japan, Malaysia, New Zealand, Pakistan, Poland, Portugal, Switzerland, Taiwan, United Kingdom, and the United States of America. This year we invited two keynote talks by Prof. Dr.
 Björn Eskofie and Prof. Dr.
 Niels Henze. The Best Paper Award was awarded to Davy P. Y. Wong and Pai H. Chou, for the paper entitled "TongueMendous: IR-Based Tongue-Gesture Interface with Tiny Machine Learning".

Here are some visual impressions iWOAR 2023:

Important Dates
Paper Submission Deadline
June 1, 2023 - 23.59 (CET)
June 15, 2023 - 23.59 (CET)

Author‘s Notification
July 25, 2023 - 23.59 (CET)

Author Registration Deadline
Sept. 15, 2023 - 23.59 (CET)

Begin of Event
Sept. 21, 2023 - 9.00 (CET)

Organized by
In cooperation with
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