Articles liés à Imitation of Human Arm and Hand Natural Movement: Applicatio...

Imitation of Human Arm and Hand Natural Movement: Application in Telecommunication - Couverture souple

Mohd Arif, Nor Azhar; Nazri Ramliy, Mohd

 
9783838355955: Imitation of Human Arm and Hand Natural Movement: Application in Telecommunication
Couverture souple
ISBN 10 : 3838355954 ISBN 13 : 9783838355955
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

In this research the imitation of the human arm gesture is attempted for incorporating its application to telecommunication. A unilateral system to achieve this is implemented using robotic arm as the actuator for reconstructing arm gestures, and computer vision for the sensor. Two cameras are used for tracking the motion of the shoulder, elbow and hand from both the front and side view of the user in order to calculate the joint angles that represent the arm pose. The tracking is done using grayscale correlation. Issues such as arm motion tracking, occlusion, arm motion transmission delay, imitation accuracy, actuator size, performance, acceptance and appropriateness are investigated. The results from the subjective evaluation show that imitation accuracy is not really a paramount aspect in the reconstruction of the gestures, which is counter-intuitive. The low bit rate nature of gesture transmission makes the handling of its traffic attractive even in the network such as the Internet. A maximum allowable delay that should be maintained for having in imperceptible delay in the gesture reconstruction is proposed based on the result of the subjective evaluation.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this research the imitation of the human arm gesture is attempted for incorporating its application to telecommunication. A unilateral system to achieve this is implemented using robotic arm as the actuator for reconstructing arm gestures, and computer vision for the sensor. Two cameras are used for tracking the motion of the shoulder, elbow and hand from both the front and side view of the user in order to calculate the joint angles that represent the arm pose. The tracking is done using grayscale correlation. Issues such as arm motion tracking, occlusion, arm motion transmission delay, imitation accuracy, actuator size, performance, acceptance and appropriateness are investigated. The results from the subjective evaluation show that imitation accuracy is not really a paramount aspect in the reconstruction of the gestures, which is counter-intuitive. The low bit rate nature of gesture transmission makes the handling of its traffic attractive even in the network such as the Internet. A maximum allowable delay that should be maintained for having in imperceptible delay in the gesture reconstruction is proposed based on the result of the subjective evaluation.

Biographie de l'auteur

NOR AZHAR MOHD ARIF is a lecturer at the Faculty of Engineering Multimedia University (MMU)Malaysia. His area of research is mainly the application of immersive technology in telecommunication. MOHD NAZRI RAMLIY is a software engineer working for Genseq. Prior to joining Genseq, he was a lecturer at the Faculty of Information Technology MMU.

NOR AZHAR MOHD ARIF is a lecturer at the Faculty of Engineering Multimedia University (MMU)Malaysia. His area of research is mainly the application of immersive technology in telecommunication. MOHD NAZRI RAMLIY is a software engineer working for Genseq. Prior to joining Genseq, he was a lecturer at the Faculty of Information Technology MMU.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838355954
ISBN 13 
9783838355955
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
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