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The perceived roughness of resistive virtual textures: I. rendering by a force-feedback mouse
Roberta L. Klatzky, Susan J. Lederman
In previous work, we demonstrated that people reliably perceive variations in surface roughness when textured surfaces are explored with a rigid link between the surface and the skin [e.g., Klatzky and Lederman 1999; Klatzky et al. 2003]. Parallel...
The perceived roughness of resistive virtual textures: II. effects of varying viscosity with a force-feedback device
Susan J. Lederman, Roberta L. Klatzky, Christine Tong, Cheryl Hamilton
Klatzky and Lederman  have shown that tangential resistive forces may be used to convey roughness in virtual textures using the WingMan force-feedback mouse. Modeling our experiment after this study, we directly examined the effect of viscous...
Image retrieval and perceptual similarity
Dirk Neumann, Karl R. Gegenfurtner
Simple, low-level visual features are extensively used for content-based image retrieval. Our goal was to evaluate an image-indexing system based on some of the known properties of the early stages of human vision. We quantitatively measured the...
Detection of electromyographic signals from facial muscles with neural networks
Pekka-Henrik Niemenlehto, Martti Juhola, Veikko Surakka
The goal of this research was to investigate neural network-based methods to be applied in the processing of biomedical signals. We developed a neural network-based method for the detection of voluntarily produced changes in facial muscle action...
Face recognition based on polar frequency features
Yossi Zana, Roberto M. Cesar, Jr
A novel biologically motivated face-recognition algorithm based on polar frequency is presented. Polar frequency descriptors are extracted from face images by Fourier--Bessel transform (FBT). Next, the Euclidean distance between all images is...