Value evaluation of human motion simulation based on speech recognition control

With the rapid development of computer technology, human motion tracking based on video is a kind of using ordinary camera tracking unmarked human movement technology. It has important application value in automatic monitoring, human-computer interaction, sports analysis and many other fields. This research is a hot research direction in the field of computer vision in recent years. Because of the complexity of the problem and the lack of understanding of the nature of the human visual tracking based on video is always a difficult problem in computer vision. The research content of this article is set in sports training, for motion analysis of non-contact, no interfere with measurement and simulation requirements, the use of computer graphics and computer vision technology, discussing 3D human motion simulation technology based on video analysis.

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Validation of the Human Motion Simulation Framework: Posture Prediction for Standing Object Transfer Tasks

10.4271/2009-01-2284 ◽

2009 ◽

Author(s):

Wei Zhou ◽

Matthew P. Reed

Keyword(s):

Human Motion ◽

Motion Simulation ◽

Simulation Framework ◽

Human Motion Simulation ◽

Posture Prediction ◽

Transfer Tasks

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A Motion Modification Algorithm for Memory-Based Human Motion Simulation

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120204601335 ◽

2002 ◽

Vol 46 (13) ◽

pp. 1172-1175 ◽

Cited By ~ 4

Author(s):

Woojin Park ◽

Don B. Chaffin ◽

Bernard J. Martin

Keyword(s):

Simulation Models ◽

Human Motion ◽

Motion Simulation ◽

Simulation Approach ◽

Ergonomic Design ◽

Novel Approach ◽

Different Types ◽

Human Motion Simulation ◽

Human Motions

Simulating human motions in the virtual CAD world is important in the computerized ergonomic design of products and workplaces. The present study introduces a novel, memory-based approach for simulating realistic human motions and presents a motion modification algorithm. in this novel approach, realistic human motions are simulated by modifying existing motion samples stored in a motion database. The proposed motion modification algorithm was found to be able to simulate human motions accurately. The memory-based motion simulation approach has advantages over existing simulation models as it can simulate qualitatively different types of motions on a single platform, predict motions of different styles, and continually learn new motions.

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Critical Features in Human Motion Simulation for Ergonomic Analysis

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120504901221 ◽

2005 ◽

Vol 49 (12) ◽

pp. 1196-1199 ◽

Cited By ~ 3

Author(s):

Matthew P. Reed ◽

Don B. Chaffin ◽

Julian Faraway

Keyword(s):

Human Movement ◽

Human Motion ◽

Motion Simulation ◽

University Of Michigan ◽

Physical Ergonomics ◽

Human Motion Simulation ◽

Human Figure ◽

Ergonomic Analysis ◽

The University ◽

Digital Human

Digital human figure models (DHM) are increasingly the tools of choice for assessments of the physical ergonomics of products and workplaces. Software representations of users and workers are used to visualize people performing tasks of interest. Analyses have usually focused on clearance and reach in static postures, not because the actual tasks are static, but rather because DHM have lacked robust, accurate motion simulation capability. Research is underway at many institutions to develop improved motion simulation methods, drawing on a wide variety of methodologies from fields such as computer graphics, kinesiology, motor control, and robotics. Experience in the Human Motion Simulation Laboratory at the University of Michigan suggests that conventional metrics of accuracy for posture and movement prediction do not adequately capture the aspects of human movement that are most important for ergonomic analysis. This paper identifies and justifies a set of these critical features.

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