HFIMV9053 ¨C Motion Capture

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

Having completed the course, the student will:

• know about different technologies for capturing different types of human motion
• be familiar with principles of human movement analysis, including basic anatomy and biomechanics
• be able to operate different motion capture systems, ranging from sensor-based to infrared camera-based technologies
• be able to perform both qualitative and quantitative analyses based on motion capture data
• be able to work with live processing and animation of motion data of various types and animated characters
• have an overview of the research frontier in the field

Admission to the course

The course is open to Ph.D. candidates who are interested in one or more topics in this course. Interested candidates must apply each semester. It is assumed that the applicants have admission to a Ph.D. program at UiO or at another educational institution. The department`s own Ph.D. candidates are given first priority.

All Ph.D. candidates register for the course by notifying the department`s Research Consultant.

External applicants must submit the following documents before teaching begins.

• confirmation that you have been admitted to a Ph.D. program

• a brief statement of motivation, containing information about your Ph.D. program, your dissertation and why this topic is relevant to you.

Documentation and questions can be sent to the Research Consultant at IMV.

Recommended previous knowledge

Basic programming experience in Python or MATLAB

Overlapping courses

• 5 credits overlap with MCT4053 ¨C Motion Capture.
• 5 credits overlap with MCT4043 ¨C Music-related Motion Tracking (continued).

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.

Examination

Portfolio (semester project)?

• The project consists of design and implementation of a motion capture system. This may include optical infrared motion capture, accelerometry, IMU based motion capture, gyroscopes, EMGs, video-based pose retrieval, or a combination of these. Projects are decided by students but must be approved by the course coordinator. Produced project material must be submitted with documentation to replicate results. Projects are summarized in an academic paper describing design, implementation and evaluation of the developed system, with a particular focus on related works, selected motion capture and biomechanical techniques, data gathering, data processing, and a consideration of the associated technical aspects.?The paper should also include a thorough literature review as well as critical thoughts and reflections. The body of the paper should be approximately 4000 words.

The semester paper must be submitted to the course instructor by the given deadline.

Language of examination

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

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

More about examinations at UiO

• Use of sources and citations
• Special exam arrangements due to individual needs
• Withdrawal from an exam
• Illness at exams / postponed exams
• Explanation of grades and appeals
• Resitting an exam
• Cheating/attempted cheating

You will find further guides and resources at the web page on examinations at UiO.