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[bibtex]@InProceedings{Hoffmann_2025_CVPR, author = {Hoffmann, Victor and Cavinato, Valentina and Scheper, Kirk}, title = {Live Demonstration: NeuroTouch - A Neuromorphic Vision-based Tactile Sensor for Real-Time Gesture Recognition}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5023-5024} }
Live Demonstration: NeuroTouch - A Neuromorphic Vision-based Tactile Sensor for Real-Time Gesture Recognition
Abstract
We propose to demonstrate NeuroTouch, a vision-based tactile sensor that combines a highly deformable dome-shaped soft material with an integrated neuromorphic camera, leveraging frame-based and event-based vision for multi-finger gesture detection. Our approach transforms an elastic body into a rich and nuanced interactive controller by tracking markers printed on its surface with event-based methods and classifying the displacement field into one of five gesture types with a corresponding intensity. We will demonstrate this novel control interface with a simple video game, highlighting the potential of soft controllers for entertainment applications.
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