SBT702 - MOTION ANALYSIS IN SPORTS BIOMECHANICS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
MOTION ANALYSIS IN SPORTS BIOMECHANICS SBT702 1st Semester 3 2 4 10
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Observation
Demonstration
Drill and Practice
Project Design/Management
 
Instructor (s)Dr.Serdar Arıtan 
Course objectiveTo understand and develop the working principles and improve the algorithms behind the motion capture systems based on sports biomechanics research 
Learning outcomes
  1. At the end of this course a student, can learn how video camera works, adjust video setting and knows video recordings formats. can learn steps of video capture and record. can develops algorithms to capture reflective markers and calculate the centroids of markers by using Matlab. can develops algorithms to recognize the markers out of other reflections. can develops algorithms to label the reflective markers and avoid marker swapping during the movement.
  2. can reduce the noise by using digital filters (Butterworth) or spline fittings (Cubic) to the position data that gathered from the markers and observe the effect of filter/smoothing by applying spectrum analyzing methods. can learn and remodel the anthropometrics points that the reflective markers are placed. can learn how to calculate velocity and accelerations values from the spatial data and angular velocity and accelerations from segments positions .
  3. can learn the 2 and 3 dimensional calibration methods. can describe the motion of rigid body (6 DoF) in space and measure the movement can learn using high speed video camera, settings and synchronizations. can analyze a specific sports movement by using the Matlab applications developed.
Course ContentData collection methods and data processing algorithms behind the motion capture systems will be explained with applications. 
ReferencesAllard, P., Stokes, I.,A.,F., Blanchi J.,P., Three-Dimensional Analysis of Human Movement, Human Kinetics, 1995. ISBN: 978-0873226233
Medved, V., Measurement of Human Locomation, CRC Press, 2001. ISBN: 978-0849376757
Gonzalez, R., C., Woods, R., E., Eddins,S.L., Digital Image Processing Using MATLAB, 2nd ed. Gatesmark Publishing; 2nd edition, 2009. ISBN: 978-0982085400 

Course outline weekly

WeeksTopics
Week 1Introduction to the course and historical development of motion capture
Week 2Working principles of video cameras, video capture hardware and recording formats and medias.
Week 3Two-Dimensional motion capture and manual digitizing and calibration.
Week 4Calculate the position of reflective marker by using image processing methods in Matlab. Developing a thresholding program by using Otsu's method.
Week 5Distinguish the difference between the reflective markers from other reflections and saved the coordinates. Developing an effective circularity method to determine circular objects.
Week 6Labelling the reflective markers and creating video by using image processing methods in Matlab. Labeling the markers in the 2-dimensional standing long jump movement.
Week 7Calculating the weight centre of the reflective markers and analysing the effects of methods by using image processing methods in Matlab
Week 8Kinematical analysis of reflective markers; velocity and acceleration calculations of markers, angular calculations by using 3 markers. Conformal mapping between the image world coordinates.
Week 9Filtering (Digital Butterworth) or smoothing (Cubic spline) of kinematical data, noise reduction ratio with spectrum analysis. 3 Dimensional graphics in Matlab
Week 103 Dimensional calibration methods : DLT, non-linear distortion. Reading and presenting papers about DLT calibration.
Week 11Using high speed cameras, adjusting camera settings and synchronisation of the cameras.
Week 12Project: Capturing high speed sports movement and calibrating the movement space.
Week 13Project: Processing the images captured with high speed cameras by utulising the applications developed in Matlab.
Week 14Project: Processing the images captured with high speed cameras by utulising the applications developed in Matlab.
Week 15Preparation to final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments420
Presentation00
Project120
Seminar00
Midterms110
Final exam150
Total100
Percentage of semester activities contributing grade succes550
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 14 2 28
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation000
Project14040
Homework assignment41040
Midterms (Study duration)12626
Final Exam (Study duration) 14040
Total Workload49127300

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
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1. Develops and enhances specialized knowledge and competencies acquired in a Master's degree in movement and sport through literature and/or research.    X
2. Understands interdisciplinary interactions, reaching original results and knowledge by analyzing and synthesizing new and complex ideas.    X
3. Possesses necessary knowledge and technological skills in exercise and sport.    X
4. Recognizes the importance of ethical principles for individuals and society.    X
5. Masters scientific research methods in exercise and sport.    X
6. Plans and executes a research project; disseminates results through reports, articles, and presentations.   X 
7. Critically analyzes, synthesizes, and evaluates new and complex ideas.    X
8. Provides creative solutions to problems in using field-related technological equipment.     
9. Introduces new thoughts, ideas, methodologies, and applications, contributing to the field's advancement.    X
10. Takes a leading role in resolving interdisciplinary issues and problems.   X 
11. Develops new ideas and methods using advanced cognitive processes for creative problem-solving.    X
12. Leads and manages events and discussions on social relations and norms, facilitating necessary changes.   X 
13. Proficient in at least one European foreign language at C1 level for advanced communication.   X 
14. Addresses social, cultural, scientific, and ethical issues, contributing to societal advancement in movement and sport.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest