SIPLAB: Sensing, Interaction & Perception Lab

Asynchronous Reality everything remains the same—except the flow of time

Ultra-mobile text input Wearable ten-finger typing anywhere

Super-resolution Touchscreens capacitive sensing for high-accuracy touch

cardiovascular monitoring measuring blood pressure each second

Haptic controllers rich haptic feedback in Virtual Reality

Rich touch sensing with seamless and continuous authentication

Team SIPLAB meet the people in the lab

Asynchronous Reality
TapType
CapContact
Glabella
Haptic PIVOT
Biometric Touch Sensing
Team SIPLAB

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

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

ECCV 2022. AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing.
Multiple Sclerosis Journal 2022–Experimental, Translational and Clinical. Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity.

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), and the Zurich Information Security & Privacy Center (ZISC).