Call for Papers
Submit your Research Paper
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 Rostock, Germany. The workshop focuses on Human Activity Recognition and Artificial Intelligence with wearable sensors and related technologies.
All scientific submissions undergo a peer review process to assure high quality content being presented. We invite submissions, which target (but are not limited to) the following topics and applications:
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
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
We invite for academic research papers and for best-practice industrial research approaches. All submissions must follow the ACM SIGCHI Paper Format.
Accepted submissions will be published in the iWOAR 2022 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).
All scientific submissions undergo a peer review process to assure high quality content being presented. We invite submissions, which target (but are not limited to) the following topics and applications:
Topics:
Human Activity RecognitionHuman 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 LivingTechnologies 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
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.
Submitting your Paper
Submitting your research requires the author to prepare a paper using the ACM SIGCHI Paper Format. Paper length is 4 to 10 pages (including references and appendix). The paper length can be exceeded for outstanding contributions.
ACM SIGCHI Paper Format
Microsoft Word Template
ACM LaTeX Template hosted on Overleaf.com
The paper should be submitted via EasyChair. In exception we also accept submissions via Email. The submission can be made both as a normal submission or as a blind submission.
⟩ Submit Paper ⟨
Each accepted paper will be presented by one author in a max. 15 min talk. Note: to ensure a smooth process for everybody, please keep the deadlines in mind!
ACM SIGCHI Paper FormatMicrosoft Word Template
ACM LaTeX Template hosted on Overleaf.com
The paper should be submitted via EasyChair. In exception we also accept submissions via Email. The submission can be made both as a normal submission or as a blind submission.
⟩ Submit Paper ⟨
Each accepted paper will be presented by one author in a max. 15 min talk. Note: to ensure a smooth process for everybody, please keep the deadlines in mind!