Computer Vision Application and Research on the One-Dimensional Body Mass Precision Measuring Device

Shu Yan Nie; Chang Qi Yang

doi:10.4028/www.scientific.net/AMM.596.453

Paper Titles

Pitch Detection Method Based on Morphological Filtering
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Rolling Bearing Fault Diagnosis with EMD-Based Fault Characteristic Frequency Difference Analysis
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LED-Based 3-DMD Volumetric 3D Display
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An Improved Gaussian Fitting Method Used in Light-Trap Center Acquiring
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Computer Vision Application and Research on the One-Dimensional Body Mass Precision Measuring Device
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Hydrocarbon Micro-Seepage Anomalies Detection Algorithm Based on FPCS for Hyperspectral Remote Sensing Data
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Landing Point Predicting Method in Target Re-Entry Measurement
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Study of Velocity Measurement Error Analysis and Improving Velocity Measurement Accuracy on High-Speed Train
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Study on Architecture of Measurement of Multi-Points Strain of Hinge Sleeve of Cubic Press under Super-High Pressure
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Computer Vision Application and Research on the...

Computer Vision Application and Research on the One-Dimensional Body Mass Precision Measuring Device

Abstract:

The human body segment inertia parameters is the research of biological mechanics and solid mechanics.And its mechanical device research is the fields of machinery and automatic control.In this paper,we solved the distance measurement of the human body link points,and that is to say we solved automatic recognition and high precision positioning of the human body link points in the one-dimensional Body mass precision measuring device,and verify the feasibility of application of computer Vision in link points measurement in the one-dimensional Body mass precision measuring device.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

453-456

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.453

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Online since:

July 2014

Authors:

Shu Yan Nie*, Chang Qi Yang

Keywords:

Camera Calibration, Computer Vision, Human Inertia Parameters

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* - Corresponding Author

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