Research topics we are interested in:
  • Interaction techniques for mobile, embedded, and ubiquitous systems
  • Crowdsourcing and human computation
  • Interaction techniques adapting to engagement, intend, or certainty
  • Supporting movement learning with technology

Open Thesis Topics

  • Measuring the world: Make electronic devices smart! [Master Thesis]
  • Demonstrator for Pen and Paper Interfaces [Bachelor/Master Thesis]
  • My Steps, My Path: Automatic Surface Estimation for Walked Paths [Master Thesis]
  • AR Search for bookshelves [Master Thesis]
  • A Mobile Force Feedback Device and Path Planning Approach for Obstacle Avoidance [Master Thesis]
  • Aehm Preventor: Detection of Subconscious Filler Words in Speech through Artificial Intelligence and Real-Time Tactile Feedback [Master Thesis]

See theses page for more details.



Pentelligence is a digital pen that recognizes handwriting with audio and motion data. It uses deep learning to achieve recognition rates of over 98% on digits without any writing instructions.

Zap++ - An EMS System for Fine-Grained Wearable Force Feedback

Zap++ is an prototype stimulator for fine grained electrical muscle stimulation (EMS). It is designed to enable complex, mobile EMS Feedback.


HapticHead is a novel around-the-head tactile display which can be used as an output system for moving tactile 3D guidance cues or immersive applications in Virtual- and Augmented Reality.

Let Your Body Move Toolkit

The Let Your Body Move ToolKit is a rapid prototyping toolkit for generating and testing mobile force feedback with electrical muscle stimulation.


Henning Pohl, Dennis Stanke, Michael Rohs
EmojiZoom is a novel emoji entry method for mobile devices built around zooming interaction. It allows for 18% faster emoji entry for novice users and large further improvement for trained users.