Multisensor Systems and Locomotion

Course Description

A notion of robotics as intelligent connection between perception and action. Analogy with biosystems. Vision sensors. Optoelectronic methods of measurement and acquisition of scenes. Photogrammetric transformations and algorithms. Modelling of the environment. Measurement of forces, of pressure distribution and tactile sensors. Other sensor modalities including electromyography. Integration of sensor modalities. Kinematics, biomechanics and modelling of movement in biosystems. Locomotion. Medical and sportive applications and diagnostics. Artificial muscle: realisability. Prostheses: cybernetic and motor aspects and functionality. Simulation of movement and virtual reality.

Learning Outcomes

  1. define a biological phenomenon of human locomotion from an interdisciplinary viewpoint
  2. explain acquisition and interpretation of quantitative indices of human locomotion
  3. apply modern engineering systems for measurement, analysis and diagnostics of human movement
  4. identify and classify the states of human locomotion based on measurement quantities
  5. create technical protocols as a support to analysis and diagnostics of human movement, in medicine and/or sports
  6. select and recommend modern engineering systems/devices for biomechanical evaluation of human locomotion, healthy and/or pathological

Forms of Teaching

Lectures

Ex cathedra, PP presentations, occasional short video presentations.

Field work

Cybex Centre for Isokinetics, Voćarska 106, Zagreb; Cognitive and Experimental Neurophysiology Laboratory, Neurology Clinics, Clinical Hospital Centre Zagreb.

Laboratory

Demonstration of procedures of measurement, analysis and diagnostics of human locomotion in a human movement biomechanics laboratory (Faculty of Kinesiology).

Other

Involvement in lecture.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Class participation 50 % 10 % 50 % 10 %
Mid Term Exam: Written 50 % 45 % 0 %
Final Exam: Written 50 % 45 %
Exam: Written 50 % 45 %
Exam: Oral 45 %

Week by Week Schedule

  1. Introduction
  2. Biological and artificial vision
  3. Locomotion biomechanics and inverse dynamic approach
  4. Automated optoelectronic kinematic and kinetic measurement system
  5. Pedobarography
  6. Kinesiological electromyography I
  7. Kinesiological electromyography II
  8. Midterm exam
  9. Skeletal muscle biomechanics
  10. Isokinetic systems
  11. Biomechanical measurement system in gait analysis
  12. Evoked potentials in motor functions diagnostics
  13. Virtual reality and locomotion
  14. Conclusion
  15. Final exam

Study Programmes

University graduate
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[FER3-HR] Network Science - profile
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[FER3-HR] Software Engineering and Information Systems - profile
Elective Courses (1. semester) (3. semester)
[FER2-HR] Computer Science - profile
Recommended elective courses (3. semester)
[FER2-HR] Control Engineering and Automation - profile
Recommended elective courses (3. semester)
[FER2-HR] Electronic and Computer Engineering - profile
Recommended elective courses (3. semester)
[FER2-HR] Information Processing - profile
Recommended elective courses (3. semester)

Literature

Vladimir Medved (2000.), Measurement of Human Locomotion, CRC Press
Jack M. Winters, Patrick E. Crago (2012.), Biomechanics and Neural Control of Posture and Movement, Springer Science & Business Media
Roberto Merletti, Dario Farina (2016.), Surface Electromyography, John Wiley & Sons
Vladimir Medved (2022.), Measurement and Analysis of Human Locomotion, Springer

Associate Lecturers

For students

General

ID 222478
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory

Grading System

90 Excellent
75 Very Good
60 Good
50 Sufficient