Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11505988 | Robotics and Computer-Integrated Manufacturing | 2019 | 6 Pages |
Abstract
Many researchers of human engineering seek to enhance work efficiency and to reduce workloads by analyzing worker load, work efficiency, and production using analogue methods, such as checklists. Recent analyses have examined job performance using digital human models created by digitally recording the movements of actual workers through keyboard and mouse-based data input. However, this modeling method has two problems: it takes too much time to model all movements, and accuracy depends on the modeling technician. To solve these problems, this study presents a digital human modeling automation system using Kinect, a Microsoft Xbox data input device, to model human movements. The system is designed to utilize multiple Kinects, and the data model conveys and manages data from these devices to calibrate an algorithm that can be used to create a digital human model. Through this system, it is possible to easily generate a digital human model accurately, inexpensively, and efficiently. The developed digital human modeling automation system is verified using four scenarios, and the results, limitations, and development plan of the study are described.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chanmo Jun, Ju Yeon Lee, Bo Hyun Kim, Sang Do Noh,