SIPLAB: Sensing, Interaction & Perception Lab

Hand out of view interaction full around-the-body interaction using just a wrist-worn inertial sensor

play

ViGather teleconferencing with a joint experience across PCs and Virtual Reality

play

cardiovascular monitoring measuring blood pressure each second

Haptic controllers rich haptic feedback in Virtual Reality

play

Team SIPLAB meet the people in the lab

HOOV
ViGather
Glabella
Haptic PIVOT
Team SIPLAB

In the SIPLAB at ETH Zürich, we're a cross-disciplinary research group in computational interaction and mobile health. Our work straddles human-computer interaction, virtual reality, ubiquitous computing, and machine learning. We are part of the Department of Computer Science (D-INFK), affiliated with the Department of Information Technology and Electrical Engineering (D-ITET), and HCI@ETH, the Human-Computer Interaction collective at ETH Zürich.

sensory augmentation for perceptive systems & human perception

computational interaction for embodied input & situated intelligence

predictive mobile health signal processing for physiological data

Projects to appear and recent research

IEEE ICRA 2024 (to appear). MiBOT: A head-worn robot that modulates cardiovascular responses through human-like soft massage.
npj Digital Medicine. Modeling Multiple Sclerosis using Mobile and Wearable Sensor Data.
IEEE Transactions on Visualization and Computer Graphics 2024. Comparing Synchronous and Asynchronous Task Delivery in Mixed Reality Environments.
Cell Press iScience. Meaningful digital biomarkers derived from wearable sensors to predict daily fatigue in multiple sclerosis patients and healthy controls.

Affiliations and collaborations

In our projects, we also collaborate with faculty and students at the Department of Health Sciences and Technology (D-HEST), the Robotics, Systems and Control (ETH RSC) program at the Department of Mechanical and Process Engineering (D-MAVT), and the Faculty of Medicine at University of Zurich.

We are part of ETH's Competence Centre for Rehabilitation Engineering and Science (ETH RESC). We are also affiliated with the ETH AI Center, the Max Planck ETH Center for Learning Systems (CLS), the ELLIS Unit Zürich, and the Zurich Information Security & Privacy Center (ZISC).