Name
Abstract | ||
|---|---|---|
Although humans can richly perceive variations of tactile textures, the relationships among tactile sensation categories are not clearly generalized. Here we propose a novel method for classifying sensations for tactile textures using onomatopoeic words (sound symbolic words) in Japanese. The method generates a distribution diagram of onomatopoeic words based on subjective impressions of the words, and enables users to arrange and compare the tactile textures on the diagram in two-dimensionally visualized form. We describe two experiments performed to generate the distribution diagram and examine the validity of the diagram. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31404-9_30 | EuroHaptics (2) |
Keywords | Field | DocType |
novel method,sound symbolic word,distribution diagram,tactile material relationship,subjective impression,tactile texture,two-dimensionally visualized form,tactile sensation category,onomatopoeic word,classifying sensation | Computer vision,Onomatopoeia,Visualization,Computer science,Diagram,Artificial intelligence,Sensation | Conference |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junji Watanabe | 1 | 46 | 11.20 |
| Tomohiko Hayakawa | 2 | 3 | 3.12 |
| Shigeru Matsui | 3 | 1 | 0.36 |
| Arisa Kano | 4 | 1 | 0.36 |
| Yuichiro Shimizu | 5 | 3 | 1.60 |
| Maki Sakamoto | 6 | 1 | 0.70 |