| Project/Area Number |
17300035
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Media informatics/Database
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
HIURA Shinsaku Osaka University, Graduate School of Engineering Science, Associate Professor (40314405)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SATO Kosuke Osaka University, Graduate School of Engineering Science, Professor (90187188)
KANAYA Ichiro Osaka University, Graduate School of Engineering Science, Assistant Professor (50314555)
|
|---|
| Project Period (FY) |
2005 – 2007
|
| Project Status |
Completed (Fiscal Year 2007)
|
| Budget Amount *help |
¥15,680,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥1,680,000)
Fiscal Year 2007: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
Fiscal Year 2006: ¥3,800,000 (Direct Cost: ¥3,800,000)
Fiscal Year 2005: ¥4,600,000 (Direct Cost: ¥4,600,000)
|
|---|
| Keywords | CSCW / Projection-based MR / HMD / Operation assistance / 作業記録 / 不可視光投影 |
|---|
| Research Abstract |
We proposed a method that uses various gestures of a humanoid as diections for the distant place. Through the images shown by usual video conference system, it is difficult to understand geometric relationships between real objects and shown gestures. In contrast, propsed method needs no prior learning and experience, because expressed gestures are enough familiar to us as communication in the real world Additionally, the humanoid has a presence and existence as the real object and we can easily understand 3-dimensional intents. We constructed a system to control the humanoid from the distant site and examined the efficiency of cooperative works and the characteristics of diector's view point.
Also we proposed a projection based user interface framework which is adaptive to the 3-D shape of the scene. At first, the depth map is measured using range finder which consist of a projector and a camera. Then, planar surfaces in the scene are detected using Hough transformation and some refinement algorithms. Finally, several interface parts are suitably arranged to the scene, and the users can operate with their finger.
|
