One-Touch Pose Detection on Touchscreen Smartphones

@inproceedings{Seipp2015OneTouchPD,
  title={One-Touch Pose Detection on Touchscreen Smartphones},
  author={Karsten Seipp and Kate Devlin},
  booktitle={ITS},
  year={2015}
}
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. 

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