Schedule, syllabus and examination date

Course content

The course aims to provide knowledge and skills in recording, visualising, and analysing human body motion. This includes learning about human anatomy and biomechanics and getting hands-on experience with setting up, calibrating, tracking, and recording with different types of motion capture systems.

Learning outcome

Knowledge:

Having completed the course, the student will:

  • be familiar with principles of human movement analysis, including basic anatomy and biomechanics
  • have knowledge of different technologies for capturing different types of human motion
  • know the main methodological challenges of using motion capture technologies in research
Skills:

Having completed the course, the student will:

  • be able to operate different motion capture systems, ranging from sensor-based to camera-based technologies
  • be able to perform both qualitative and quantitative analyses based on motion capture data
  • be able to critically reflect on different motion tracking technologies, and practically and aesthetically evaluate their usefulness for various applications

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Prerequisites

Recommended previous knowledge

It is recommended that the student are familiar with Python programming with packages for scientific computing.

Overlapping courses

5 credits overlap with MCT4053 – Motion Capture

Teaching

The course is taught using a flipped classroom model and with blended learning methods, including:

  • Video lectures, readings and assignments in preparation for the workshops.
  • 10 workshops of 4 hours with compulsory attendance.

In order to qualify for the exam, students must have completed all assignments and have obtained at least 80% attendance. In addition, projects must be showcased at the end of the semester in a short live demonstration.

Examination

Project assignment (50%):

The project consists of designing and implementing a real-time motion tracking system or a motion capture experiment. Projects are decided by the students and must be approved by the course responsible. Associated technical material, such as code and data, and documentation must be submitted.

Paper (50%):

The paper should be written as a report describing the design and evaluation of the developed system or experiment. The paper should also include critical thoughts and reflections on the project. The body of the report should not exceed 3500 words.

Submit assignments in Inspera

You submit your assignment in the digital examination system Inspera. Read about how to submit assignments in Inspera.

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

Resit an examination

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Facts about this course

Credits
10
Level
Master
Teaching
Every spring
Examination
Every spring
Teaching language
English