WIP vhar_textures

1-background/related-work/2-wearable-haptics.tex

@@ -228,7 +228,7 @@ Participants matched the virtual textures to the real ones, with \qty{0.25}{\mm}
 
 Other models have been then developed to capture everyday textures (such as sandpaper) \cite{guruswamy2011iir} with many force and velocity measures \cite{romano2012creating,culbertson2014modeling}.
 Such data-based models are capable of interpolating from the user's measures of velocity and force as inputs to generate a virtual texture in real time (\secref{vibrotactile_actuators}).
-This led to the release of the Penn Haptic Texture Toolkit (HaTT) database, a public set of stylus recordings and models of 100 haptic textures \cite{culbertson2014one}.
+This led to the release of the \HaTT database, a public set of stylus recordings and models of 100 haptic textures \cite{culbertson2014one}.
 A similar database, but captured from a direct touch context with the fingertip, has recently been released \cite{balasubramanian2024sens3}.
 A limitation of these data-driven models is that they can only render \emph{isotropic} textures: their record does not depend on the position of the measure, and the rendering is the same regardless of the direction of the movement.
 Alternative models have been proposed to both render both isotropic and patterned textures \cite{chan2021hasti}.