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http://dx.doi.org/10.7315/CADCAM.2014.068

Depth Camera-Based Posture Discrimination and Motion Interpolation for Real-Time Human Simulation  

Lee, Jinwon (Department of Industrial Engineering, Ajou University)
Han, Jeongho (Department of Industrial Engineering, Ajou University)
Yang, Jeongsam (Department of Industrial Engineering, Ajou University)
Publication Information
Korean Journal of Computational Design and Engineering / v.19, no.1, 2014 , pp. 68-79 More about this Journal
Abstract
Human model simulation has been widely used in various industrial areas such as ergonomic design, product evaluation and characteristic analysis of work-related musculoskeletal disorders. However, the process of building digital human models and capturing their behaviors requires many costly and time-consuming fabrication iterations. To overcome the limitations of this expensive and time-consuming process, many studies have recently presented a markerless motion capture approach that reconstructs the time-varying skeletal motions from optical devices. However, the drawback of the markerless motion capture approach is that the phenomenon of occlusion of motion data occurs in real-time human simulation. In this study, we propose a systematic method of discriminating missing or inaccurate motion data due to motion occlusion and interpolating a sequence of motion frames captured by a markerless depth camera.
Keywords
Human simulation; Locally linear embedding (LLE); Motion interpolation; Posture discrimination; Support vector machine (SVM);
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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