International Journal of Social Science & Economic Research
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Title:
THE IDENTIFICATION OF KNEE DEVIATION DURING THE SQUAT MOVEMENT

Authors:
Vikranth Nara and Jason Park

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Vikranth Nara and Jason Park
Rock Ridge High SchoolAshburn, Virginia, USA

MLA 8
Nara, Vikranth, and Jason Park. "THE IDENTIFICATION OF KNEE DEVIATION DURING THE SQUAT MOVEMENT." Int. j. of Social Science and Economic Research, vol. 7, no. 9, Sept. 2022, pp. 3106-3114, doi.org/10.46609/IJSSER.2022.v07i09.022. Accessed Sept. 2022.
APA 6
Nara, V., & Park, J. (2022, September). THE IDENTIFICATION OF KNEE DEVIATION DURING THE SQUAT MOVEMENT. Int. j. of Social Science and Economic Research, 7(9), 3106-3114. Retrieved from https://doi.org/10.46609/IJSSER.2022.v07i09.022
Chicago
Nara, Vikranth, and Jason Park. "THE IDENTIFICATION OF KNEE DEVIATION DURING THE SQUAT MOVEMENT." Int. j. of Social Science and Economic Research 7, no. 9 (September 2022), 3106-3114. Accessed September, 2022. https://doi.org/10.46609/IJSSER.2022.v07i09.022.

References

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ABSTRACT:
This paper describes software to evaluate the ideal form to prevent injury and promotes muscle growth when squatting. The software spots if any excessive knee internal rotation or abduction is occurring. For model creation, we took Tensorflow's Body Pix model and performed 3- dimensional pose segmentations and used those coordinates in another model to correctly classify the user’s squatting form as either too far or too inward in terms of deviation. Specifically, we created a multi-variable regression model that connects these points in the XYZ plane that was trained on the resulting coordinates from the pre-trained pose estimation model used on a custom dataset of YouTube videos from power lifting competitions. Then, we modeled Euclidean distance, 3d angles, and depth value through equations to evaluate the bend and distance between the hip, knee, and ankle for targeting left and right deviation by specifying 3 stages: going down, middle squat, and going up.

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