Data-Driven Modeling of Anisotropic Haptic Textures: Data Segmentation and Interpolation
نویسندگان
چکیده
This paper presents a new data-driven approach for modeling haptic responses of textured surfaces with homogeneous anisotropic grain. The approach assumes unconstrained tool-surface interaction with a rigid tool for collecting data during modeling. The directionality of the texture is incorporated in modeling by including 2 dimentional velocity vector of user’s movement as an input for the data interpolation model. In order to handle increased dimentionality of the input, improved input-data-space-based segmentation algorithm is introduced, which ensures evenly distributed and correctly segmented samples for interpolation model building. In addition, new Radial Basis Function Network is employed as interpolation model, allowing more general and flexible data-driven modeling framework. The estimation accuracy of the approach is evaluated through cross-validation in spectral domain using 8 real surfaces with anisotropic texture.
منابع مشابه
Data-Driven Rendering of Anisotropic Haptic Textures
It is common to interact with a wide range of surfaces with anisotropic haptic textures in our daily life. However, the rendering techniques were not capable of incorporating the directional grain in a virtual world. In our previous work, we have proposed a data-driven model for anisotropic haptic textures, which stores and interpolates contact vibration patterns. In this paper, we have develop...
متن کاملStochastic models for haptic texture
Recent research in haptic systems has begun to focus on the generation of textures to enhance haptic simulations. Synthetic texture generation can be achieved through the use of stochastic modeling techniques to produce random and pseudo-random texture patterns. These models are based on techniques used in computer graphics texture generation and textured image analysis and modeling. The goal f...
متن کاملSoft Tissue Modeling Using ANFIS for Training Diagnosis of Breast Cancer in Haptic Simulator
Soft tissue modeling for the creation of a haptic simulator for training medical skills has been the focus of many attempts up to now. In soft tissue modeling the most important parameter considered is its being real-time, as well as its accuracy and sensitivity. In this paper, ANFIS approach is used to present a nonlinear model for soft tissue. The required data for training the neuro-fuzzy mo...
متن کاملSegmentation of monochrome and color textures using moving average modeling approach
The segmentation of textures using features extracted with 2-D moving average (MA) modeling approach is presented in this paper. The 2-D MA model represents a texture as an output of a 2-D nite impulse response (FIR) lter with simple input process. The 2-D MA model is exible, and can be used for modeling both isotropic and anisotropic textures. The maximum-likelihood (ML) estimators of the 2-D ...
متن کاملStimuli-Magnitude-Adaptive Sample Selection for Data-Driven Haptic Modeling
Data-driven haptic modeling is an emerging technique where contact dynamics are simulated and interpolated based on a generic input-output matching model identified by data sensed from interaction with target physical objects. In data-driven modeling, selecting representative samples from a large set of data in a way that they can efficiently and accurately describe the whole dataset has been a...
متن کامل