Schedule

The workshop will be held Monday Oct 12 in Room 5C.

Time Activity
08:00 – 08:30 Conference Registration (1F)
08:30 – 09:00 Setup and Opening Remarks
09:00 – 09:30 Keynote: Towards Robust Physiological Sensing on Ubiquitous Devices (Yuntao Wang)
10:15 – 10:30 Coffee Break
09:30 – 10:30
Paper Session
  • CITRUS: Candidate Inference, Temporal Decoding, and Reliability-Gated Reporting for Wearable Devices
    Yi Wang, Siyuan Liang, and Yuntao Wang
  • Smart Insole Pressure Sensing for Gait and Health Monitoring
    Anna Moskvina, Anni Vienonen, Apila Huhtinen, Yamn Ismail, Narat Witwiyaruj, Ying Liu, and Stephan Sigg.
  • An Exploration of In-Ear Cardiac Audio in Heart Failure Patients
    Andrii Lenyshyn, Thomas Kleinknecht, Kenneth Christofferson, and Alex Mariakakis
  • Demonstrating a Vibrotactile Ankle Wrap for Post-Stroke Rehabilitation of Lower Limb Spasticity
    Tan Gemicioglu, Jeffry Tan, Caitlyn Seim, Joan Stilling, and Tanzeem Choudhury.
10:30 – 11:00 Coffee Break
11:00 – 12:00 Open Demos (Anyone welcome to bring a demo)
12:00 – 12:30 Discussion and Closing Remarks

Keynote

Towards Robust Physiological Sensing on Ubiquitous Devices

Yuntao Wang

Bio. Yuntao Wang is a research associate professor in the Department of Computer Science and Technology at Tsinghua University. His research centers on physiobehavioral computing and intelligent interaction for mobile and wearable systems. His work focuses on (1) developing robust, efficient sensing that performs reliably on mainstream devices, (2) extracting spatiotemporal patterns from multimodal signals to infer interaction intent by leveraging natural behavioral correlations, and (3) designing edge-efficient interfaces that deliver high performance on mobile and wearable platforms. He has published 100+ papers, received 10 international conference awards, and holds 30+ granted patents. His contributions have been recognized with honors including the Wu Wenjun AI Outstanding Youth Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022), the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024), and the First Prize of the China Electronics Institute Science & Technology Award (2019).

Abstract. This talk presents our recent work on physiological sensing using ubiquitous devices, including smartphones and wearables. We explore how everyday devices can support efficient, continuous, and low-burden health monitoring beyond traditional medical settings. By leveraging widely available hardware and new sensing algorithms, our research aims to make physiological monitoring more accessible, scalable, and practical for real-world use. The talk will highlight new technical approaches and design insights at the intersection of human-computer interaction, ubiquitous computing, and health.