Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition

Résumé

Methods-Time Measurement (MTM) is a predetermined motion time system that is used primarily in industrial settings to analyze the methods used to perform any manual operation. In this paper, we introduce a system for automatic generation of MTM codes using only head and both hands 3D tracking. Our approach relies on the division of gestures into small elementary movements. Then, we built a decision tree to aggregate these elementary movements in order to generate the realized MTM code. The proposed system does not need any pre-learning step, and it can be useful in both virtual environments to train technicians and in real cases with industrial workshops to assist experts for MTM code identification. Obtained results are satisfying and promising. This work is in progress, we plan to improve it in the near future.
Fichier principal
Vignette du fichier
AIVR2019_Bellarbi.pdf (962.29 Ko) Télécharger le fichier
AIVR2019_Bellarbi.docx (777.76 Ko) Télécharger le fichier
Loading...

Dates et versions

hal-02413200 , version 1 (16-12-2019)

Identifiants

Citer

Abdelkader Bellarbi, Jean Pierre Jessel, Laurent da Dalto. Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition. IEEE International Conference on Artificial Intelligence & Virtual Reality (AIVR 2019), Dec 2019, San Diego, California, United States. pp.191--1913, ⟨10.1109/AIVR46125.2019.00040⟩. ⟨hal-02413200⟩
77 Consultations
2783 Téléchargements

Altmetric

Partager

More