<title>Stochastic models for haptic texture</title>

Interaction of visual and haptic information in simulated environments: texture perception

“…It was observed that a higher variance of Gaussian distribution gave a higher estimate of perceived roughness. Fritz and Barner (1996) reproduced Gaussian texture effects in 3D using a PHANToM. It was found that simple textures could be rendered from a multivariate probability density function (PDF, e.g.…”

“…Currently, we can only strive to provide perceptual impressions that are merely discriminable (Fritz & Barner, 1996), or else provide simulation of object properties, such as roughness, rather than exact tactile replicas of real life materials. Most haptic interface applications, with the obvious exception of those designed for the visually impaired, seem to be augmented by visual feedback.…”

A novel haptic texture display based on image processing

“…Saira and Pai present a stochastic approach t o h a p t i c t e x t u r e s a i m e d a t r e d u c i n g t h e computational complexity of texturing methods (Juhani& Dinesh 2006). Fritz and Barner follow this up by presenting two stochastic models to generate haptic textures (Fritz& Barner 1996). S. Choi and H.Z.Tan study the perceived instabilities arising out of current haptic texture rendering algorithms while interacting with textured models (Choi & Tan 2004).…”

The WHaT: a wireless haptic texture sensor

“…For many applications, such a detailed model may not be necessary, and a stochastic model of the contact forces and motion may be sufficient [22,8,13,20]. Constructing such models, with correlated forces and accelerations, also requires that both quantities are simultaneously measured.…”

“…Traditionally, engineering metrology has been aimed at characterizing surfaces produced by manufacturing processes as they relate to assembly and wear, and not for haptic renderering [24]. Haptic texture rendering is an important theme in haptic interface research; see, for instance, [22,8,5,9,20,4].…”