Human-machine interaction by tracking hand movements /
In this research work a new methodology for 3D human hand gestures detection and recognition is proposed, which can be used for natural and intuitive human-computer interaction and other robotic systems. The proposed method based on Fourier's descriptors, neural networks and morphology approach...
Enregistré dans:
Auteur principal: | |
---|---|
Collectivité auteur: | |
Format: | Thèse Livre |
Langue: | English |
Publié: |
Perlis, Malaysia
School of Mechatronic Engineering
2013.
|
Sujets: | |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Résumé: | In this research work a new methodology for 3D human hand gestures detection and recognition is proposed, which can be used for natural and intuitive human-computer interaction and other robotic systems. The proposed method based on Fourier's descriptors, neural networks and morphology approaches to solve the problem of human hand tracking and gesture recognition of 3D objects from a single silhouette image. |
---|---|
Description matérielle: | 157 pages illustrations 30 cm |
Bibliographie: | Includes bibliographical references (pages 153-166). |