Towards Improving Touchscreen Input Speed and Accuracy on Smartphones for Tremor Affected Persons

Katrin Plaumann, Milos Babic, Tobias Drey, Witali Hepting, Daniel Stooß, Enrico Rukzio

Touch smart phonesAbstract

People who are affected by tremor often have difficulties when interacting with smartphones. The uncontrollable shaking of the hands can complicate fast and accurate interaction with touchscreen based smartphones. Although recent work has shown that motion sensors incorporated in smartphones can be leveraged for detecting tremor, little work has been done to use this data to increase interaction time and accuracy for smartphone interactions. We show how motion sensor data can be used to gain higher accuracy and decrease interaction time for persons with tremor.


Tremor in the hands can complicate interactions with touchscreen based smartphones. The uncontrolled oscillations of ones hands might impede fast and accurate target selection. We presented an algorithm designed to overcome this issues by detecting the tremor with motion sensors. The detected oscillations are then used to correct users input. In the future, we plan to conduct a user study to analyse exactly how much faster and less error prone persons with tremor can select items when using different versions of our algorithm.


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