HAB718 - MOTION ANALYSIS IN SPORTS BIOMECHANICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MOTION ANALYSIS IN SPORTS BIOMECHANICS | HAB718 | Any Semester/Year | 3 | 2 | 4 | 10 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Observation Demonstration Drill and Practice Project Design/Management | |||||
| Instructor (s) | Dr. Öğr. Üyesi Serdar ARITAN | |||||
| Course objective | To understand and develop the working principles and improve the algorithms behind the motion capture systems based on sports biomechanics research | |||||
| Learning outcomes |
| |||||
| Course Content | Data collection methods and data processing algorithms behind the motion capture systems will be explained with applications. | |||||
| References | Allard, 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
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to the course and historical development of motion capture |
| Week 2 | Working principles of video cameras, video capture hardware and recording formats and medias. |
| Week 3 | Two-Dimensional motion capture and manual digitizing and calibration. |
| Week 4 | Calculate the position of reflective marker by using image processing methods in Matlab. Developing a thresholding program by using Otsu's method. |
| Week 5 | Distinguish the difference between the reflective markers from other reflections and saved the coordinates. Developing an effective circularity method to determine circular objects. |
| Week 6 | Labelling 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 7 | Calculating the weight centre of the reflective markers and analysing the effects of methods by using image processing methods in Matlab |
| Week 8 | Kinematical analysis of reflective markers; velocity and acceleration calculations of markers, angular calculations by using 3 markers. Conformal mapping between the image world coordinates. |
| Week 9 | Filtering (Digital Butterworth) or smoothing (Cubic spline) of kinematical data, noise reduction ratio with spectrum analysis. 3 Dimensional graphics in Matlab |
| Week 10 | 3 Dimensional calibration methods : DLT, non-linear distortion. Reading and presenting papers about DLT calibration. |
| Week 11 | Using high speed cameras, adjusting camera settings and synchronisation of the cameras. |
| Week 12 | Project: Capturing high speed sports movement and calibrating the movement space. |
| Week 13 | Project: Processing the images captured with high speed cameras by utulising the applications developed in Matlab. |
| Week 14 | Project: Processing the images captured with high speed cameras by utulising the applications developed in Matlab. |
| Week 15 | Preparation for the final exam |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | ||
| Laboratory | ||
| Application | ||
| Field activities | ||
| Specific practical training | ||
| Assignments | ||
| Presentation | ||
| Project | ||
| Seminar | ||
| Midterms | ||
| Final exam | ||
| Total | ||
| Percentage of semester activities contributing grade succes | ||
| Percentage of final exam contributing grade succes | ||
| Total | ||
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 0 | ||
| Laboratory | 0 | ||
| Application | 0 | ||
| Specific practical training | 0 | ||
| Field activities | 0 | ||
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 0 | ||
| Presentation / Seminar Preparation | 0 | ||
| Project | 0 | ||
| Homework assignment | 0 | ||
| Midterms (Study duration) | 0 | ||
| Final Exam (Study duration) | 0 | ||
| Total Workload | 0 | 0 | 0 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest