Magical Touch: Transforming Raw Capacitive Streams into Expressive Hand-Touchscreen Interaction
For HCI researchers and touchscreen designers, this work expands interaction design space by leveraging previously discarded raw data, though it is an incremental step from existing capacitive sensing methods.
Magical Touch uses raw capacitive sensor data from touchscreens to enable expressive hand gestures beyond fingertip interaction, demonstrated through a physics-based game with real-time response to hand geometry and pressure.
Modern touchscreens utilize capacitive sensing technology to enable precise and robust multi-touch interaction. However, the broader expressive potential of the human hand remains underutilized, since most existing methods directly filter out larger-area hand-screen contact. This paper introduces Magical Touch, an interaction method based on raw capacitive sensing data. By directly integrating raw touchscreen sensor data into the interaction loop, our method allows users to interact with the screen naturally and efficiently using arbitrary hand gestures on existing touchscreen devices. To demonstrate the feasibility and expressive capacity of this approach, we implement a physics-based interactive game featuring single-player, multiplayer collaborative, and pressure-sensitive modes. These scenarios showcase how digital objects can respond in real-time to both the geometry and contact intensity of the user's hand. Our results indicate that leveraging raw capacitive data can expand the design space of touchscreen interaction, offering an embodied and continuous interaction paradigm beyond existing fingertip-based approaches.