Editors' Introduction to the Issue, March 2026
This issue presents an exciting collection of papers spanning both long-standing core areas of IMWUT—such as human activity recognition, localization, and wearable sensing—and emerging directions involving Artificial Intelligence (AI) and Large Language Models (LLMs).
Authors
- Chenren Xu (ORCID: https://orcid.org/0000-0001-9171-2596)
- Lena Mamykina (ORCID: https://orcid.org/0000-0001-5203-274X)
- Edison Thomaz (ORCID: https://orcid.org/0000-0001-8188-0457)
- Lucy Barnes
- Stephan Sigg (ORCID: https://orcid.org/0000-0001-6118-3355)
- Alanson P. Sample (ORCID: https://orcid.org/0000-0002-8046-0538)
- Franca Delmastro (ORCID: https://orcid.org/0000-0001-9233-2712)
- Nadir Weibel (ORCID: https://orcid.org/0000-0002-3457-4227)
- Sarah Clinch (ORCID: https://orcid.org/0000-0002-9305-4774)
- Fusang Zhang (ORCID: https://orcid.org/0000-0002-2529-8021)
- Thomas Ploetz (ORCID: https://orcid.org/0000-0002-1243-7563)
- Uichin Lee
- Kristof Van Laerhoven
Institutions
- Georgia Institute of Technology (US)
- Korea Advanced Institute of Science and Technology (KR)
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- University of Siegen (DE)
- University of Michigan (US)
- University of Manchester (GB)
- University of California San Diego (US)
- Institute of Informatics and Telematics (IT)
- University of Virginia (US)
- Columbia University (US)
- The University of Texas at Austin (US)
- Aalto University (FI)
Publication Details
- Journal
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Published
- 2026-03-16
- DOI
- https://doi.org/10.1145/3799913
- Primary Topic
- Multimodal Machine Learning Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00