Course info

Welcome to From Motion Measurements to Modeling in Biomedical Research

Description:

Over the past decades, considerable improvements in motion measurement technology and modeling of human movement have been made. Therefore, the goal of this course is to review and discuss these recent developments and their implications for biomedical research. The basis will be built by an overview of general modeling approaches including physical, mathematical and statistical models. The applied focus will be on video-based movement analysis systems but also on inertial motion units and other new technology. The process from data recording, including data treatment and analysis will be illustrated using a selection of examples (e.g., locomotion, sports movements). General guidelines will be derived to assist researchers in planning the use of movement analysis in experimental and clinical settings. Finally, modeling approaches will be reviewed. Internal and external national/international experts will be invited.

The course will cover three modules distributed over two full days of lectures:

1. Background of movement measurement systems, data treatment
2. Data analysis, synthesis and use in basic and advanced modeling
3. Applications of modeling approaches

Literature

Introductory: Gordon Robertson, Joseph Hamill, Gary Kamen, Graham Caldwell: Research Methods in Biomechanics. Saunders Whittlesey (2004) ISBN-13: 9780736039666

David A. Winter: Biomechanics and Motor Control of Human Movement, 4th Edition. John Wiley & Sons, Inc. (2009) ISBN: 978-0-470-39818-0

Further readings (research articles) will be provided via the course webpage.

Prerequisites

This course is addressed at students early in their PhD. Ideally you should be about 3 months into your project development. However, students who decide to use the respective technologies later within their studies are naturally welcome.

Evaluation

Assignment: A mini report (five pages) is to be submitted three weeks after the course including a modeling task based on example data collected during the course. In the report the various aspects of modeling, as they will be outlined during the course, should be applied to each individual student’s project. This reflection should be conducted with strong reference to the literature and cover a conceptual level, i.e., it should not necessarily contain a detailed outline of the modeling approach used in your study. Further, it could entail a general analysis of the other possible types of models used, their possible weaknesses and strengths and a reasoning why the chosen model is appropriate for the individual project. The individual topics will be set during the course.

Organizer: Professor Uwe Kersting, e-mail: uwek@hst.aau.dk

Lecturers:

Afshin Samani, AAU, Denmark

Ernst A. Hansen, AAU, Denmark

Michael Voigt, AAU, Denmark

Mark de Zee, AAU, Denmark

Michael S. Andersen, AAU, Denmark

Mark Lake, Liverpool John Moores University, England

Mark Robinson, Liverpool John Moores University, England

Lars Janshen, Humboldt University Berlin

Adamantios Arampatzis, Humboldt University Berlin

ECTS: 2.0

Time: 29 September and 13 October 2014 (08.15-16.15)

Place: Aalborg University,

Fredrik Bajers Vej 7E, lokale E3-109

Zip code: 9220

City: Aalborg

Number of seats:

Deadline: 23 September, 2014

Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.