Name
Abstract | ||
|---|---|---|
Data-driven haptic rendering requires processing of raw recorded signals, which leads to high computational effort for large datasets. To achieve real-time performance, one possibility is to reduce the parameter space of the employed interpolation technique, which generally decreases the accuracy in the rendering. In this paper, we propose a method for guiding this parameter reduction to maintain high accuracy with respect to the just noticeable difference for forces. To this end, we performed a user study to estimate this perception threshold. The threshold is used to assess the final error in the rendered forces as well as for the parameter reduction process. Comparison with measured data from real object interactions confirms the accuracy of our method and highlights the reduced computational effort. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WHC.2009.4810814 | WHC |
Keywords | Field | DocType |
parameter reduction,reduced computational effort,interpolation technique,data-driven haptic rendering,high computational effort,final error,parameter reduction process,computationally efficient technique,perception threshold,parameter space,high accuracy,force feedback,real time,force,accuracy,computer vision,virtual reality,solid modeling,interpolation,just noticeable difference | Computer vision,Virtual reality,Data-driven,Computer science,Interpolation,Artificial intelligence,Solid modeling,Parameter space,Just-noticeable difference,Rendering (computer graphics),Haptic technology | Conference |
Citations | PageRank | References |
6 | 0.47 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raphael Hover | 1 | 54 | 3.32 |
| Massimiliano Luca | 2 | 77 | 9.90 |
| Gabor Szekely | 3 | 26 | 3.04 |
| Matthias Harders | 4 | 363 | 36.51 |