SIPLAB: Sensing, Interaction & Perception Lab

In the SIPLAB at ETH Zürich, we're a cross-disciplinary research group in computational interaction, embodied perception, and mobile health. Our research stretches across mixed reality, robotics, human-computer interaction, and machine learning. We are part of the Department of Computer Science, affiliated with the Department of Information Technology & Electrical Engineering, and HCI@ETH.

egocentric multimodal tracking scalable methods for action & motion capture
computational interaction decoding input intention in adaptive systems
predictive mobile health signal processing for physiological data in the wild

Projects to appear and recent research

IEEE IROS 2024 (October)

Relative Position Tracking on Moving Nodes without Anchors

Fusing UWB Ranging and Inertial State Estimation
ACM UIST 2024 (October)

TouchInsight

Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric Vision
ACM UIST 2024 (October)

SituationAdapt

Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM Reasoning

Affiliations and collaborations

In our projects, we collaborate with faculty and students at the Department of Health Sciences and Technology, the Robotics, Systems and Control (RSC) program at the Department of Mechanical and Process Engineering, 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).