SIPLAB: Sensing, Interaction & Perception Lab
The SIPLAB at ETH Zürich is an interdisciplinary research lab working on egocentric perception, computational interaction, and digital biomarkers. We advance mixed reality, robotics, human-computer interaction, and machine learning. We are part of the Department of Computer Science and the AI Center.
egocentric perception
scalable methods for action & motion tracking
computational interaction
decoding input intent for adaptive systems
digital biomarkers
signal processing for mobile health
Projects to appear and recent research
Personality-Emotion Framework
A joint framework for conversational agentsGarment-aware Human Motion Capture
Diffusion-based Body Pose Estimation from Loosely Worn Inertial SensorsEgoPressure
Hand Pressure and Pose Estimation from Egocentric Vision Accepted as HighlightCybersickness Detection Beyond Subjectivity
Continuous EEG-based Estimation using Multitaper SpectrumsContinual Human-in-the-Loop Optimization
Honorable mention awardShifting the Paradigm
Achieving Shift-Invariancy for Deep Learning on Time SeriesAffiliations and collaborations
- ELLIS Unit Zürich
- Max Planck ETH Center for Learning Systems (CLS)
- Department of Information Technology & Electrical Engineering (D-ITET)
- ETH Augmented Reality Research Hub (ETHAR)
- Human-Computer Interaction @ ETH Zürich (HCI@ETH)
- Competence Centre for Rehabilitation Engineering and Science (ETH RESC)
- Zurich Information Security & Privacy Center (ZISC)