SIPLAB: Sensing, Interaction & Perception Lab
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).
Projects to appear and recent research
- NeurIPS 2023 (to appear). Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning. (preprint)
- ACM UIST 2023 (to appear). InteractionAdapt: Interaction-driven Workspace Adaptation for Situated Virtual Reality Environments.
- ACM UIST 2023 (to appear). Depth estimation and contact detection.
- ACM UIST 2023 (to appear). PressurePick: Muscle Tension Estimation for Guitar Players Using Unobtrusive Pressure Sensing.
- ACM ICMI 2023 (to appear). Cross-Device Shortcuts: Seamless Attention-guided Content Transfer via Opportunistic Deep Links between Apps and Devices.
- ACM MobileHCI 2023. ViGather: Inclusive Virtual Conferencing with a Joint Experience Across Traditional Screen Devices and Mixed Reality Headsets.
- IEEE Transactions on Visualization and Computer Graphics 2023. Controllers or Bare Hands? A Controlled Evaluation of Input Techniques on Interaction Performance and Exertion in Virtual Reality.
- Uncertainty in Artificial Intelligence (UAI) 2023. BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation.
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).