Publication Type : Conference Paper
Thematic Areas : Humanitarian-Robotics-HCI
Publisher : Proceedings - IEEE 18th International Conference on Advanced Learning Technologies,
Source : Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018, 2018.
ISBN : 9781538660492
Keywords : construction industry, Experimental methods, Feedback systems, Field experience, Lever positioning, Lever tilting, Motor skills, Real time guidance systems, Rebar
Campus : Amritapuri
School : Department of Social Work
Center : Ammachi labs
Department : Social Work
Year : 2018
Abstract : Rebar Bending is one of the important trade in the construction industry. Major motor skill like force of bend, bend angle accuracy, lever positioning, lever tilting are guiding factor for doing the manual rebar bending process. To be an expert in rebar bending, one should need at least 3 to 4 years of field experience, to learn all motor skill parameters. This paper describes in detail the skill parameters involved during the manual rebar bending process through experimental methods. Comparing the expert data with novice which outline the design of real time guidance system for effective skill transfer and learning. The lever positioning skill learning in manual rebar bending process projected a high accuracy with the help of feedback system.
Cite this Research Publication : D. Sasi, Mohan, H. T., and Rao R. Bhavani, “Characterization of expertise to build an augmented skill training system for construction industry”, in Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018, 2018.