Name
Title | ||
|---|---|---|
Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. |
Abstract | ||
|---|---|---|
The use of hand gestures offers an alternative to the commonly used human computer interfaces, providing a more intuitive way of navigating among menus and multimedia applications. This paper presents a system for hand gesture recognition devoted to control windows applications. Starting from the images captured by a time-of-flight camera (a camera that produces images with an intensity level inversely proportional to the depth of the objects observed) the system performs hand segmentation as well as a low-level extraction of potentially relevant features which are related to the morphological representation of the hand silhouette. Classification based on these features discriminates between a set of possible static hand postures which results, combined with the estimated motion pattern of the hand, in the recognition of dynamic hand gestures. The whole system works in real-time, allowing practical interaction between user and application. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s00138-011-0364-6 | Mach. Vis. Appl. |
Keywords | Field | DocType |
Computer vision,Human–computer interaction,Hand gesture cognition | Hand geometry,Computer vision,Pattern recognition,Segmentation,Gesture,Computer science,Silhouette,Gesture recognition,Time-of-flight camera,Dynamic models,Artificial intelligence | Journal |
Volume | Issue | ISSN |
24 | 1 | 0932-8092 |
Citations | PageRank | References |
16 | 0.65 | 28 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javier Molina | 1 | 16 | 0.65 |
| Marcos Escudero-Viñolo | 2 | 29 | 4.61 |
| Alessandro Signoriello | 3 | 16 | 0.65 |
| Montse Pardàs | 4 | 343 | 35.03 |
| Christian Ferran Bennström | 5 | 21 | 1.29 |
| Jesús Bescós | 6 | 126 | 16.82 |
| Ferran Marqués | 7 | 738 | 67.44 |
| Jose Martinez | 8 | 224 | 23.89 |