Multisensor Systems and Locomotion

Data is displayed for the academic year: 2025./2026.

Lecturers

Prof.
Mario Cifrek
PhD
Assoc. Prof.
Željka Lučev Vasić
PhD

Lectures

Asst. Prof.
Igor Gruić
PhD
Asst. Prof.
Darko Katović
PhD
Adj. Assoc. Prof.
Magdalena Krbot Skorić
PhD

Laboratory exercises

Asst. Prof.
Igor Gruić
PhD
Adj. Assoc. Prof.
Magdalena Krbot Skorić
PhD
Asst. Prof.
Darko Katović
PhD
Assoc. Prof.
Željka Lučev Vasić
PhD

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.

Study Programmes

University graduate
[FER3-HR] Audio Technologies and Electroacoustics - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Biomedical Engineering - study
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[FER3-HR] Control Systems and Robotics - profile
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[FER3-HR] Data Science - profile
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[FER3-HR] Electrical Power Engineering - profile
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[FER3-HR] Electric Machines, Drives and Automation - profile
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[FER3-HR] Electronic and Computer Engineering - profile
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[FER3-HR] Software Engineering and Information Systems - profile
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[FER2-HR] Computer Science - profile
Recommended elective courses (3. semester)
[FER2-HR] Electronic and Computer Engineering - profile
Recommended elective courses (3. semester)

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

University of Zagreb Faculty of Kinesiology; 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

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

General

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

Grading System

90 Excellent
75 Very Good
60 Good
50 Sufficient

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