We will present two papers at the International Conference on Interactive Surfaces and Spaces. For both papers, we trained models that to improve the interaction with smartphones. PredicTouch is a system to reduce touchscreen latency using neural networks and inertial measurement units. With the second paper, we provide a ground truth data set for to estimate finger orientations using capacitive touchscreens recorded with a high-precision motion capture system. Using the data set, we show that a convolutional neural network can outperform approaches proposed in previous work.

- Huy Viet Le, Valentin Schwind, Philipp GĂ¶ttlich, Niels Henze: PredicTouch: A System to Reduce Touchscreen Latency using Neural Networks and Inertial Measurement Units, Proceedings of ISS, 2017
- Sven Mayer, Huy Viet Le, Niels Henze: Estimating the Finger Orientation on Capacitive Touchscreens Using Convolutional Neural Networks, Proceedings of ISS, 2017