Identifying Muscle Strength Imbalances in Athletes using Motion Analysis Incorporated with Sensory Inputs

Abstract

Movement analysis is one of the commonly used methods in the context of physiotherapy to identify dysfunctions in the human musculoskeletal system. The overhead squat is a popular movement pattern that is also approved by NASM (National Academy of Sports Medicine of USA) among the various movement patterns that are used to identify muscle dysfunctions. It is commonly used to draw conclusions on an athlete's muscle imbalance in the clinical field based on observed compensations of the movement pattern. It is used by trainers as well as fitness enthusiasts to routinely assess their movement patterns. The correct execution of movements in every athlete is crucial since the incorrect bio-mechanics can result in injuries that would take a considerable amount of time to recover through rehabilitation. Thus, there is a need to evaluate injury risks accurately. The primary purpose of this research is to propose a method of detecting muscle imbalances in collegiate athletes with the aid of a low-cost motion tracking device. This proposed method facilitates the detection of muscle imbalances in both upper-body as well as lower-body during the execution of the overhead squat.

Comparative and Improvement Study of 3D Human Pose Estimation Algorithms using Monocular Cameras

“…Motion capture technology is widely used in gait analysis for sports, essential in activities involving running motions. In sports medicine, it is employed to study athletes' movements, identifying dysfunctions related to injuries [4]. This technology is crucial in understanding athletes' Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”

Human Joint Angle Estimation Using Deep Learning-Based Three-Dimensional Human Pose Estimation for Application in a Real Environment

“…Motion-capture technology is widely used for gait analysis in sports and is essential for activities involving running motion, such as sports medicine, to study athletic movements and identify dysfunctions related to injuries [ 4 ]. This technology is crucial for understanding athlete success and handling complex injuries.…”