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Quantitative Kinetic and Kinematic Analysis of Human Movement

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Quantitative Kinetic and Kinematic Analysis of Human Movement
Practical One: Quantitative Kinetic and Kinematic Analysis of Human Movement: The Inverse Solution

Tacita Thorogood
Student number: 12593352
Subject: SP2011 Advance Biomechanics
Lecturer: Sara Brice
Group: Even Week, Group 1

Introduction
Within the field of sports and exercise science the use of digitizing video footage is used to track human movement. Markers are placed on anatomical landmarks of the human body to track movements which the body undergoes, this procedure is fundamental in the development of quantitative information of human movement. Digitizing involves giving these landmarked points, coordinates to then follow the points as the body moves in space and time. The body, its segments and joints can be determined using this data, linear and angular kinematics through its movement. Joint reaction forces and muscles torques during movement can be determined when using linear and angular kinematics combined with kinetic information. Clinicians within the sports and exercise industry can use this information in conjunction with normative data and diagnostic assessment to assess the efficiency of movements along with assist in technique development. This kinematic information can also be used in aid of the prevention of injury among athletes.
Theory
Full kinematic description and accurate anthropometric measures
Link-segment modelling in determining reaction forces and muscle torques
Involves inverse solution
Step 1: (horizontal)

Step 2: (vertical)

Step 3: (rotation about centre of mass)

Kinematic variables are found using the digitizing video footage
Kinetic variables are measured using a type of force transducer
Using a force plate scientists can measure the forces applied by the foot to the ground, known as ground reaction forces
The magnitude and directions of these forces apply to Newton’s Third Law, equal and opposite reactions
A force-time curve can indicate technique flaws

Aim
The aim of this experiment was to

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