Authors : Tharindu Dananjana Silva; B.G.D.A. Madhusanka; H.D.N.S. Priyankara
Volume/Issue : Volume 5 - 2020, Issue 7 - July
Google Scholar : http://bitly.ws/9nMw
Scribd : https://bit.ly/3fNk2tn
DOI : 10.38124/IJISRT20JUL141
This project is focused on analyzes squat
performing video through image processing by
considering key points taken from front and side view.
There are conditions to check the performance of squat
correct or not. If the Squat is correct, three angles are
analyzed reference to five positions. The OpenCV is
used to identify the five positions. Also, the Vector
function is used to determine the reference angles by
using the Cosine rule. These angles are calculated at the
knee, waist, and ankle. All these angles are calculated
on the free-weight back squat exercise. The ultimate
purpose of this project is to minimize injuries that occur
due to technical errors because most of the armature
players get injured due to the difficulty in posing of
correct technique. The mobile application is developed
to identify user mistakes and can get instructions.
Keywords : squat, image processing, OpenCV.