3D hand posture estimation and task semantic monitoring technique for human-robot collaboration

Jhen Jia Hu, Hui Chieh Li, Hau Wei Wang, Jwu-Sheng Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We develop a monitoring system for human-robot collaboration (HRC) of hybrid automation. The system enables the production line to avoid product defects as well as guarantee a real-time warning system in a cellular manufacturing (CM). A task semantic monitoring system includes the three-dimensional (3D) hand posture estimation and the motion trajectory monitoring. The coordinate of hand, the motion of hand, and the semantic of hand are identified by two integrated modules. The verification is executed by applying the system to the assembly lines for power protector.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
Pages797-804
Number of pages8
DOIs
StatePublished - 25 Nov 2013
Event2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 - Takamastu, Japan
Duration: 4 Aug 20137 Aug 2013

Publication series

Name2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013

Conference

Conference2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
CountryJapan
CityTakamastu
Period4/08/137/08/13

Keywords

  • Assembly
  • Cellular Manufacturing (CM)
  • Hand Posture
  • Human-Robot Collaboration (HRC)
  • Task Semantic

Fingerprint Dive into the research topics of '3D hand posture estimation and task semantic monitoring technique for human-robot collaboration'. Together they form a unique fingerprint.

  • Cite this

    Hu, J. J., Li, H. C., Wang, H. W., & Hu, J-S. (2013). 3D hand posture estimation and task semantic monitoring technique for human-robot collaboration. In 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 (pp. 797-804). [6618018] (2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013). https://doi.org/10.1109/ICMA.2013.6618018