Center of Gravity (COG) is an important parameter in many applications including aeronautics, astronomy, and kinesiology. This project focuses on the kinesiology application of the center of gravity, which helps people to understand their body’s stability and movement. The COG changes continually and does not have a fixed point inside the body. For example, in some exercises COG could be in the outer perimeter of the body.
In this project, we present an innovative approach to estimate the COG when the body is posed in an anatomical position. This approach uses image processing via MATLAB programing software. After preprocessing and processing of 2D images of the human body, we estimate the whole body’s COG in the three data sets. This project further considers alternate estimation in COG using reaction board technique, which allows us to estimate the accuracy of our method. In this project, the accuracy of the image processing COG estimation is 93% in compare to the reaction board. Finally, Body Mass Index (BMI) of the three data sets using the subject’s weight and height was calculated.
|Commitee:||Ary, James, Shahian, Bahram|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 55/03M(E), Masters Abstracts International|
|Subjects:||Biomedical engineering, Electrical engineering|
|Keywords:||Center of gravity, Image processing, Reaction board|
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