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.

iWOAR is an international workshop with a conference-like format, hosted by the Hochschule RheinMain. This year's workshop is being held in Wiesbaden, Germany, on the Hochschule RheinMain campus. The workshop focuses on recognizing human (and animal) activities using artificial intelligence, with wearable and device-free sensors, as well as related technologies.
All scientific submissions undergo a single-blind peer-review process to ensure that high-quality content is published. Each submission typically receives 2-3 reviews. All submissions are discussed among the program committee members. The designated program committee chairs make the final decision on acceptance or rejection. We invite submissions that target (but are not limited to) the following topics and applications: