e064 Biomechanical analysis of human movement

Faculty of Sports Studies
spring 2025
Extent and Intensity
0/1/0. 3 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Miriam Kalichová, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Miriam Kalichová, Ph.D.
Department of Physical Activities and Health Sciences – Faculty of Sports Studies
Contact Person: Ing. Zuzana Florianová
Supplier department: Department of Physical Activities and Health Sciences – Faculty of Sports Studies
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to introduce students to current modern technologies and methods of motion analysis, as well as to practice selected methods of measurement (kinematography, dynamometry, accelerometry) in the laboratory of biomotorics FSpS. Furthermore, students will learn standard procedures of biomechanical data processing. After completing the course, the student will be able to choose a suitable method of motion analysis for the given problem and to evaluate the obtained data in a basic way.
Syllabus
  • 1. Biomechanical analysis of human motion: biomechanics as a scientific discipline, development of biomechanical analyses, overview of current methods, relevance to sport and other disciplines
  • 2. Kinematic analysis - cinematographic method 1: motion capture, motion recording systems, space calibration, determination of anatomical points on the body
  • 3. Kinematic analysis – cinematographic method 2: the principle of evaluating kinematic variables from video recordings, selection of suitable and key kinematic parameters for the specific issue, deterministic model
  • 4. Kinematic analysis – cinematographic method 3: Kinovea (free to download) – options for displaying and editing recording, time synchronization of multiple records, slow motion, time parameters
  • 5. Kinematic analysis – cinematographic method 4: record processing in Kinovea (free to download) – spatial characteristics - angles, trajectories, velocities
  • 6. Inertial sensors (IMU) 1: wearable sensors – accelerometers, gyroscopes and magnetometers - principle of measurement, IMU in smart measurement devices for sport purposes, IMU in mobile phone, data format, basic signal adjustments in Signalplant - work with individual channels, calculation of the resulting curve, creating marks, displaying values using the ruller
  • 7. Inertial sensors (IMU) 2: measurement of static elements – static balance, evaluation of data in Signalplant – selection of the analysed interval, basic statistics
  • 8. Inertial sensors (IMU) 3: measurement and evaluation of dynamic motion structures (jump, punch,…) – take-off phase parameters, flight phase detection, impact parameters, peak of the curve detection
  • 9. Inertial sensors (IMU) 3: recording and evaluation of daily physical activity (lifestyle), cyclic human movements, measurement and evaluation of gait - parameters obtained by recording the movement of the upper and lower limbs and hips
  • 10. IMU advanced evaluation of data: Advanced evaluation of raw data (continuous variable) in Signalplant: filtering, averaging, statistical processing – Pearson correlation, Fast Fourier transformation (FFT)
  • 11. Kinetic analysis 1: principle of kinetic measurements, measuring instruments, laboratory vs field conditions, kinetic parameters to be evaluated (forces, contact area, pressure, impulse of force). Force plates – static measurement, posturography, data evaluation (length of COP, velocity of COP, confidential ellipse,…), measurement force plates Emed and Zebris
  • 12. Kinetic analysis 2: gait analysis on Emed and Zebris force plates, data evaluating (gait phases, single and double support time, path of COP, gait velocity, stride length and width, forces, pressures…)
  • 13. Kinetic analysis 3: jumps and other dynamic motion structures (impact forces, time parameters of movement phases (take-off, flight, landing)
Teaching methods
theoretical preparation - lectures, laboratory measurements, homework - processing of measured data
Assessment methods
data measurement and evaluating - preparation of measurement protocols (individually and in teams)
Language of instruction
English
Further Comments
The course is taught each semester.
The course is taught: every week.
  • Permalink: https://is.muni.cz/course/fsps/spring2025/e064