Mining Publication: Random Motion Capture Model for Studying Events Between a Machine and its Operator
Original creation date: January 2001
This paper presents a technique for representing and analyzing random motions and hazardous events in a computer simulated three-dimensional workplace, providing machine designers and safety analysts with a new technique to evaluate ways to reduce operator-machine interaction hazards. Technical data in this paper is based upon a project striving to reduce workers' risks from being hit by underground mining machinery in a confined space. By simulating motions of an operator's random behavior and a machine's appendage, researchers can accurately identify hazards, and use that information to form safe designs for mining equipment appendage velocity. Validating the model provided improvements in the operator's optimal viewing area, work task-starting positions, and operator's motions for a more accurate random behavior. Preliminary simulation results provided (1) and interesting approach to research data gathering in that there was no need for live subjects and test sites and costs associated with experiments become insignificant and (2) that the model was versatile by showing it was capable of accurately mimicking the range collision forces versus speed, operators' size, and risk behaviors found in actual industrial situations and showed (1) that response time significantly affects the number of collisions experienced by the virtual subject and (2) that analysts must be discerning with the model and not read more from the databases than what the simulation model was designed to deliver.
Authors: DH Ambrose
Conference Paper - January 2001
NIOSHTIC2 Number: 20021244
Proceedings of the Advanced Simulation Technologies Conference. ASTC 2001, July 15-19, 2001, Orlando, Florida. San Diego, CA: Society for Computer Simulation International 2001 Jan; :127-134
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- Page last reviewed: 9/21/2012
- Page last updated: 9/21/2012
- Content source: National Institute for Occupational Safety and Health, Mining Program