December 14-216, 2026 · Kobe, Japan.
https://www.ieee-aiot.org/2026The IoT-HR Workshop explores the challenges and opportunities of continuous data acquisition from Internet of Things (IoT) devices— such as smartwatches, fitness trackers, mobile phones, and ambient sensors— for medical research and digital health. While these systems offer rich insights into daily living and physical well-being, critical hurdles remain in integration, data quality, data processing, user adoption, privacy, and clinical validity.
The workshop provides a collaborative venue bringing together academic researchers, industry experts, and practitioners to address these core challenges. By identifying innovative strategies and optimizing IoT data usage in health, IoT-HR contributes directly to IEEE AIoT 2026 by expanding its scope into high-impact healthcare and digital well-being applications.
We invite submissions addressing, but not limited to, the following:
We welcome full research papers, work-in-progress submissions, and demonstration abstracts. All submissions will be peer-reviewed by at least three TPC members. Accepted papers will be presented at the workshop, with hybrid (online) options available for authors unable to attend in person.
Manuscript templates can be found here. All submissions to IoT-HR must be uploaded to EasyChair at https://easychair.org/conferences/?conf=ieeeaiot2026.
Hard Submission Due
Author Notification
Camera-Ready Due
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