One-Touch Pose Detection on Touchscreen Smartphones

  title={One-Touch Pose Detection on Touchscreen Smartphones},
  author={Karsten Seipp and Kate Devlin},
We present a technique that allows distinguishing between index finger and thumb input on touchscreen phones, achieving an average accuracy of 82.6% in a real-life application with only a single touch. We divide the screen into a virtual grid of 9mmx9mm units and use a dedicated set of training data and algorithms for classifying new touches in each screen location. Further, we present correlations between physical and digital touch properties to extend previous work. 

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.

Real-Time Operating Hand Detection for the Optimization of Mobile Web Interfaces

2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) • 2017
View 7 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…