Important Dates

  • Workshop Paper Submission: 4 August 2024
  • Paper Decision Notification: 25 August 2024
  • Camera-ready Submission: 10 September 2024

The Workshop explores multimodal human behaviour analysis for smart healthcare applications by leveraging rich sensing modalities available on consumer IoT devices. Focusing on privacy-preserving approaches tailored for resource-constrained IoT devices, we are looking for efficient distributed learning methods, including federated learning, split learning, etc., to ensure the confidentiality of sensitive data. Participants are invited to contribute to the field of human behavior analysis in smart healthcare.

Topics of Interest:

  • Privacy preserving approaches for multimodal human behaviour analysis.
  • Distributed learning, such as Federated learning, split learning, etc., for human behaviour analysis.
  • Human behaviour analysis with multiple sensing modalities, such as human activity recognition, stress detection, etc.
  • Smart healthcare applications based on human behaviour analaysis, such as remote PPG, fall detection, etc.
  • Model compression on resource-constrained IoT devices for efficient human behaviour analysis on device.
  • Personalized FL models for human behaviour analysis.

Submission Guidelines

Authors are invited to submit 5-page papers in standard IEEE double-column format. Up to 4 pages may contain technical content, figures, and references, while the 5th page may contain only references. Papers will be peer-reviewed, and accepted papers will be included in the IEEE WF-IoT 2024 proceedings.

Submission Link: https://edas.info/newPaper.php?c=31878&track=125370

Workshop Organizers:

  • Pai Chet Ng, Singapore Institute of Technology
  • Fani Deligianni, University of Glasgow
  • Kostas N. Plataniotis, University of Toronto

TPC Members:

  • Idris Zakariyya, University of Glasgow
  • Seyed M. Sheikholeslami, University of Toronto
  • Arash Rasti Meymandi, University of Toronto
  • Tram Truong-Huu, Singapore Institute of Technology
  • Liang Song, Fudan University
  • Ryan Ko, The University of Queensland
  • Soochang Park, Chungbuk National University
  • Kaushik Bhargav Sivangi, University of Glasgow
  • Kang Eun Jeon, SungKyunKwan University

Contact Us: mhba.iot@gmail.com

Ottawa