| dc.description.abstract | Global population growth, aging populations, and higher survival rates for people with
severe illnesses and impairments are all factors that are driving up the demand for
rehabilitation services throughout the world especially in Low- and Middle-Income
Countries (LMICs). Physical therapy, sometimes referred to as physiotherapy, is a branch
of medicine that deals with the treatment of patients by physical therapists who use
patient rehabilitation to maintain, improve, or restore health. By creating a learning
machine model that can identify the proper angle states, machine learning can be applied
as a solution for workout movement recognition. Image processing and computer vision
activities can be carried out with the help of the Python module OpenCV. Many
functions are available to it, including pose tracking, face recognition, and item
identification. One benefit of the Mediapipe framework is its ability to identify human
posture using 33 points, or landmarks. In order to perform the research, a literature
review was done, and depending on the values of the x and y axes, similar research was
located. The purpose of this paper is to enhance one's posture when exercising. The
implementation of an AI-powered smart system that uses live image and video sensing
to recommend improved body posture by using python libraries including Mediapipe,
OpenCV | en_US |
