Name
Abstract | ||
|---|---|---|
We use the RGB-D technology of Kinect to control an application with hand-gestures. We use PowerPoint for test. The system can start/end PPT, navigate between slides, capture or release the control of the cursor, and control it through natural gestures. Such a system is useful and hygienic in the kitchen, lavatories, hospital ICUs for touch-less surgery, and the like. The challenge is to extract meaningful gestures from continuous hand motions. We propose a system that recognizes isolated gestures from continuous hand motions for multiple gestures in real-time. Experimental results show that the system has 96.48% precision (at 96.00% recall) and performs better than the Microsoft Gesture Recognition library for swipe gestures. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/NCVPRIPG.2015.7490031 | 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) |
Keywords | Field | DocType |
robust control,hand-gesture recognition,RGB-D technology,Kinect,PowerPoint,hand motion,human-computer interaction,HCI | Computer vision,Computer science,Gesture,Gesture recognition,Speech recognition,SwIPe,RGB color model,Artificial intelligence,Robust control,Recall,Cursor (user interface) | Conference |
ISSN | Citations | PageRank |
2372-658X | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aakash Anuj | 1 | 0 | 0.34 |
| Tanwi Mallick | 2 | 0 | 3.38 |
| Partha Pratim Das | 3 | 18 | 13.94 |
| Arun K. Majumdar | 4 | 425 | 157.40 |