Fraunhofer-Institut für Graphische Datenverarbeitung IGDiWOAR
Veranstaltungsdetails
Programm
We invite the workshop participants to contribute for scientific papers. We also encourage industry participants to present challenges, ideas, experiences, novel applications, and studies of existing methods. Accepted industrial papers will be presented in an industrial session during the workshop. Paper length is 4 - 10 pages (including references)
All submissions must follow the ACM SIGCHI Templates.
We invite submissions, which target (but are not limited to) the following topics and fields of application:
Topics:
> Human Activity Recognition
> Human Performance & Energy Measuring
> Stress Recognition
> Human Monitoring
> Animal Welfare
> Wearable Sensing in Healthcare Informatics
> Wearable Computing
> Interaction Techniques
> Intelligent User Interfaces
> Input & Output Modalities
> Context Awareness
> Machine Learning
> Artificial Intelligence
> Deep Learning
> Feature Extraction
Application Fields:
> Ambient Assisted Living
> Technologies for Senior Living
> Quantified Self
> Lifestyle & Behavior Change
> Pervasive Healthcare
> Occupational Health, Health Care and Wellness
> Telemedicine and Biotechnology
> Assisted Production
> Smart Farming with AI
> Maintenance and Service
> Alternative Control of Everyday Life's Products
> Assistive Technologies for Urban Environments
> Ultra Mobile Cameras
Anmeldung
Paper Submission Date:
30.06.2025
Notification:
04.08.25
Registration:
18.08.2025
Begin of Event:
19th September
Veranstaltungsort
Twente, The Netherlands
Datum
18. September 2025 - 19. September 2025
9th international Workshop on Sensor-based Activity Recognition and Artificial Intelligence
iWOAR is an international workshop with conference character, which is organized by Fraunhofer IGD and the University of Rostock. This year‘s workshop is held in Twente, The Netherlands.
The workshop focuses on Human Activity Recognition and Interaction with wearable sensors and related technologies.
Accepted submissions will be published online in the iWOAR 2025 Proceedings at the ACM Digital Library.