Name
Abstract | ||
|---|---|---|
i-me TOUCH is able to detect when one human touches another. By observing the different patterns of conductivity between two humans, the system is also able to record touch gestures such as tapping and rubbing. It detects tap gestures with 95% accuracy and rub gestures with 92% accuracy. And, a new idea is developed in this paper. That is the ability to detect when one person touches his or her own body. As a principle of operation, we extend the "Body as an Antenna" concept (developed by [Cohn et al. 2011]), but focus on the case of human-to-human touch. The approach used by [Sato et al. 2012] is accurate and can determine the type of substance. Our prototype and some preliminary experiments are discussed in this poster. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2503385.2503424 | SIGGRAPH Posters |
Keywords | Field | DocType |
human touch interaction,human touch,rub gesture,touch gesture,different pattern,person touch,preliminary experiment,human-to-human touch,i-me touch,new idea,own body | Computer vision,Computer graphics (images),Computer science,Gesture,Rubbing,Tapping,Artificial intelligence | Conference |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuko Zou | 1 | 2 | 0.73 |
| Leo Miyashita | 2 | 23 | 7.13 |
| Tomohiko Hayakawa | 3 | 3 | 3.12 |
| Eric Siu | 4 | 1 | 0.36 |
| Carson Reynolds | 5 | 115 | 23.48 |
| Masatoshi Ishikawa | 6 | 903 | 163.13 |