Name
Abstract | ||
|---|---|---|
Calibrating displays can be a time-consuming process. We describe a fast technique for adjusting the subjective experience of roughness produced by different haptic texture synthesis algorithms. Its efficiency is due to the exponential convergence of the ldquomodified binary search methodrdquo (mobs) applied to find points of subjective equivalence between virtual haptic textures synthesized by different algorithms. The method was applied to find the values of the coefficient of friction in a friction-based texture algorithm that yield the same perception of roughness as the normal-force variations of conventional texture synthesis algorithms. Our main result is a table giving the perceptual equivalence between parameters having different physical dimensions. A similar method could be applied to other perceptual dimensions provided that the controlling parameter be monotonically related to a subjective estimate. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TOH.2009.5 | Haptics, IEEE Transactions |
Keywords | Field | DocType |
friction,haptic interfaces,surface texture,displays calibration,exponential convergence,friction coefficient,friction-based texture algorithm,haptic texture synthesis algorithms,modified binary search method,virtual haptic textures,Haptic rendering,haptic textures,passivity,roughness. | Convergence (routing),Computer vision,Signal processing,Monotonic function,Computer science,Algorithm,Equivalence (measure theory),Surface finish,Artificial intelligence,Binary search algorithm,Texture synthesis,Haptic technology | Journal |
Volume | Issue | ISSN |
2 | 2 | 1939-1412 |
Citations | PageRank | References |
5 | 0.78 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gianni Campion | 1 | 5 | 0.78 |
| Vincent Hayward | 2 | 1343 | 172.28 |