SIPLAB: Sensing, Interaction & Perception Lab

AvatarPoser full-body reconstruction from just the 6D head pose and hand or controller poses

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Ultra-mobile text input Wearable ten-finger typing anywhere

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cardiovascular monitoring measuring blood pressure each second

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

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Haptic controllers rich haptic feedback in Virtual Reality

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Rich touch sensing with seamless and continuous authentication

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Team SIPLAB meet the people in the lab

AvatarPoser
TapType
Glabella
Asynchronous Reality
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

ACM UIST 2022. DeltaPen: A Device with Integrated High-Precision Translation and Rotation Sensing on Passive Surfaces.
ECCV 2022. AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing.
IEEE ISMAR 2022. ComforTable User Interfaces: Surfaces Reduce Input Error, Time, and Exertion for Tabletop and Mid-air User Interfaces.
IEEE ISMAR 2022. Demographic and Behavioral Correlates of Cybersickness: A Large Lab-in-the-Field Study of 837 Participants.
IEEE Transactions on Visualization and Computer Graphics 2022. Characterizing Physiological Responses to Fear, Frustration, and Insight in Virtual Reality.
DIGITAL HEALTH 2022. Cognitive fatigability assessment test (cFAST): Development of a new instrument to assess cognitive fatigability and pilot study on its association to perceived fatigue in multiple sclerosis.

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).