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Applied Biomechanics 1st YEAR

In this course the student will upgrade their mostly 2D biomechanical knowledge to the 3D world and they will learn to apply this new knowledge to perform biomechanical analyses in the context of Sport and Health. Examples of concepts included are joint angles, joint moments, energy (work, power), angular (and linear) momentum.

Students will learn to analyze laboratory measurements using a 3D inverse dynamics model. Furthermore, they will learn how to work with more simple measurement techniques, such as accelerometers found in phones. They will also learn how these complex and simple measurement tools can be applied in biomechanical research in both the laboratory and the field settings. Lastly, they will learn to think about what measurements are sufficient for a given problem; in other words; what are the most efficient ways to solve your problem, and at what cost (i.e. decrease in precision) does this come?

Dr. S.M. Bruijn

Dr. S.M. Bruijn

Course Description

Every week consists of lectures and Matlab practicals. During the lectures the theory will be explained. During the Matlab practicals, the biomechanical theory will be applied to analyze different applied research questions. In the last weeks of the course, students will start working on a research proposal to combine the things they’ve learned over the course. During the penultimate week, there will be a personalized feedback moment for these project proposals.

All content will be targeted on hands-on applied biomechanical questions as examples for the theory to be studied; examples of questions studied are; What is the ankle load during a basketball jump landing? Is squat lifting really better for your back? How come field hockey players can give so much speed to a ball during a drag flick? How can gymnasts improve their jumps? How can we use mobile phones to gather meaningful data about human movement?

Every week, the motion to be analyzed will become more complex (few segments → full-body).

Measurement using the following systems will be covered in this course:

  • Laboratory grade 3D motion registration (Optotrak, Force plate)
  • A wearable multi-inertial sensor suit for 3D full body motion capture
  • Simple wearable accelerometers
  • Mobile phones
  • Kinect (demo)

Study Characteristics

  • Discipline: Human Movement Sciences: Sport, Exercise and Health (Research)
  • Type of education: Lecture, computer lab
  • Academic skill: N/A
  • Graduate School: N/A
  • Start date: TBD
  • End date: TBD
  • Minimum number of students: N/A
  • Maximum number of students: N/A
  • Admission criteria: Contact the course coordinator for information on admission criteria: dr. S.M. Bruijn
  • Concluding assessment: Yes
  • Assessment type: 1 hour short multiple choice exam
  • With Certificate: N/A
  • Schedule info: 21 hours of Lectures; 48 hours of practicals; 90 hours of self-study (preparing lectures, Writing assignments etc); 1 hour short multiple choice exam
  • Number of lessons: N/A
  • Total course duration in hrs.: 160 hours
  • Sign up period: N/A
  • Anticipated hrs of study: 90 hours 
  • Available to: PhD students VU (and VU RMA students)
  • Course Description & Study Characteristics

    Course Description

    Every week consists of lectures and Matlab practicals. During the lectures the theory will be explained. During the Matlab practicals, the biomechanical theory will be applied to analyze different applied research questions. In the last weeks of the course, students will start working on a research proposal to combine the things they’ve learned over the course. During the penultimate week, there will be a personalized feedback moment for these project proposals.

    All content will be targeted on hands-on applied biomechanical questions as examples for the theory to be studied; examples of questions studied are; What is the ankle load during a basketball jump landing? Is squat lifting really better for your back? How come field hockey players can give so much speed to a ball during a drag flick? How can gymnasts improve their jumps? How can we use mobile phones to gather meaningful data about human movement?

    Every week, the motion to be analyzed will become more complex (few segments → full-body).

    Measurement using the following systems will be covered in this course:

    • Laboratory grade 3D motion registration (Optotrak, Force plate)
    • A wearable multi-inertial sensor suit for 3D full body motion capture
    • Simple wearable accelerometers
    • Mobile phones
    • Kinect (demo)

    Study Characteristics

    • Discipline: Human Movement Sciences: Sport, Exercise and Health (Research)
    • Type of education: Lecture, computer lab
    • Academic skill: N/A
    • Graduate School: N/A
    • Start date: TBD
    • End date: TBD
    • Minimum number of students: N/A
    • Maximum number of students: N/A
    • Admission criteria: Contact the course coordinator for information on admission criteria: dr. S.M. Bruijn
    • Concluding assessment: Yes
    • Assessment type: 1 hour short multiple choice exam
    • With Certificate: N/A
    • Schedule info: 21 hours of Lectures; 48 hours of practicals; 90 hours of self-study (preparing lectures, Writing assignments etc); 1 hour short multiple choice exam
    • Number of lessons: N/A
    • Total course duration in hrs.: 160 hours
    • Sign up period: N/A
    • Anticipated hrs of study: 90 hours 
    • Available to: PhD students VU (and VU RMA students)

Would you like to register or want to know more?

Please contact the course coordinator dr. S.M. Bruijn:

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