For more than two decades, capacitive sensing has played a prominent role in human-
computer interaction research. Capacitive sensing has become ubiquitous on mobile …

Modern mobile devices allow a rich set of multi-finger interactions that combine modes into a
single fluid act, for example, one finger for panning blending into a two-finger pinch gesture …

Touchscreens continue to advance including progress towards sensing fingers proximal to
the display. We explore this emerging pre-touch modality via a self-capacitance touchscreen …

We describe a novel approach for estimating the pitch and yaw of fingers relative to a
touchscreen's surface, offering two additional, analog degrees of freedom for interactive …

Today's touchscreen devices commonly detect the coordinates of user input through
capacitive sensing. Yet, these coordinates are the mere 2D manifestations of the more …

Touchscreens are the most successful input method for smartphones. Despite their flexibility,
touch input is limited to the location of taps and gestures. We present PalmTouch, an …

In the last years, touchscreens became the most common input device for a wide range of
computers. While touchscreens are truly pervasive, commercial devices reduce the richness …

We present a flexible Machine Learning approach for learning user-specific touch input
models to increase touch accuracy on mobile devices. The model is based on flexible, non …

We describe the focused-casual continuum, a framework for describing interaction
techniques according to the degree to which they allow users to adapt how much attention …

The small screens of smartwatches provide limited space for input tasks. Finger identification
is a promising technique to address this problem by associating different functions with …