TU Delft Sports Engineering Institute | TU Delft Sports Engineering Institute & Graduating in Sports Engineering
TU Delft Sports Engineering Institute, Delft University of Technology, TU, Graduating, Graduation Assignments
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Graduating at the TU Delft Sports Engineering Institute

Graduating in Sports Engineering

The TU Delft Sports Engineering Institute offers multiple opportunities to graduate on sports related topics. Assignments in various sports and for students from all different backgrounds are frequently being offered by the sports organisations and companies the TU Delft Sports Engineering Institute is collaborating with.  You can find some of the currently available assignments below. If you are interested to carry out your MSc project in the field of sports, you can contact either Anoek van Vlaardingen or Daan Bregman to discuss the opportunities – their contact details can be found at the “contact” page.

Automated tracking and shot analysis in archery

In archery, and especially in top levels, an athlete carries a large array of arrows. Not all of these arrows are completely identical. Some athletes feel the performance of some arrows differs from others, with this feeling eventually turning into a self-ful lling prophecy. However, in competition situations especially, the The student will research this phenomenon and investigate the performance over time of different arrows.

 

The goal is to come up withan automated set-up for tracking the arrow number and subsequent performance of the shot, to add to the data that is already being collected. Within regulations, the mode of implementation of the system into the archery range is also up to the student.

 

The entire assignment brief can be downloaded as a PDF from here.

Timing based on 3D image recognition

Accurate finish timings at amateur running events currently rely on RFID tags, which are read by a mat placed at the finish.These mats can cause accidents during finish, and the RFID tag needs to be attached to the athlete.There is room for improvement in the way these races are measured.

 

The student should find out how to measure the finish time using stereo vision. Besides coming up with a fool-proof system, one should think of possible situations, such as mass starts or the start number being accidentally covered by the athlete during start or nish.Affordable redundance is highly imporant. As a bonus, measuring the athlete’s physical condition could be a possibility.

 

The entire assignment brief can be downloaded as a PDF from here.

Development of an Android app for real-time feedback during pitching

The FAST Ball project (Fast And Safe Throwing in Baseball) is a collaboration between academic partners (TU Delft, VU Amsterdam), the KNBSB (Dutch National Federation of Baseball) and several companies. The project aims at improving the throwing velocity of players while avoiding the risk of injury by the various aspects of throwing (biomechanics of the throw, training methods, risks of injury).

 

The aim of this assignment is developing an Android app to display the generated feedback.

 

The entire assignment brief can be downloaded as a PDF from here.

Winning the individual time trial;
optimal pacing strategy and bicycle choice.

To win the individual time trial you just have to cycle very fast! But what if you are not the strongest? Then you can win by being smarter! In an individual time trial everything is laid out: all curves and elevations in the track are known, weather and wind conditions are given, and the critical power profile of the cyclist is know. Together with the dynamic characteristics of a bicycle you can imagine that there exists an optimal pacing strategy for the shortest time. A first analytic exploration into the optimal control problem [1] showed that it’s a singular control problem, which are very difficult to solve. However, with smart modeling and modern optimization software we have a real challenge: to win the race!

 

This assignment is about modelling the optimal parameters for winning the individual time trial.

 

The entire assignment brief can be downloaded as a PDF from here.

Improving descending technique in professional road cycling

Everybody knows that some cyclists are a lot better in descending than others. Some cyclists even are notoriously bad descenders. Now it is rare that a tour is won in the downhill. But you can lose the tour by poor descent! Therefore it makes sense to train good descending. Unfortunately little is know about the best descending technique. A first step in understanding descending techniques focused on measuring and comparing the performance of a number of professional cyclists [1]. This already produced very valuable information on braking behaviour and speed regulation. Unfortunately the measurement system mark I failed on some points. We now like to improve this system to get all the necessary data. A next very challenging step is providing the cyclist with real time feedback! It all depends on good data.

 

The aim of this assignment is developing an improved system for providing cyclists with real-time feedback

 

The entire assignment brief can be downloaded as a PDF from here.

Design of a minimal invasive instrumented skate

The Dutch Olympic speed skating team is contantly improving performance, powered by (a.o.) the TU Delft Sports Engineering Institute. One of the developments at the TU Delft is an instrumented skate that measures the force that the skater applies to the skate. Although very accurate, the system is very invasive; the bridge of the skate needs to be replaced and the system is heavy.

 

The aim of this assignment is redesigning this instrumented skate into a minimal invasive speed skating force system.

 

The entire assignment brief can be downloaded as a PDF from here.

High-precision positioning for Elite Sport Applications

Elite cyclist Tom Dumoulin (Giant-Alpecin) won this year’s first leader jersey of the Giro d’Italia with a difference of 0.01 seconds. In the 100 m men sprint final at the 2004 Summer Olympics in Athens the first four athletes were within 0.04 s of each other. At the Summer Olympics of this year in Rio it took a photo to separate the men’s single sculls as the clock used for timing could not distinguish a difference between them.

 

These examples show that subtle differences as small as one hundredth of a second can already significantly determine race or match outcome. For training elite athletes often make use of motion capture systems to objectively and quantitatively receive feedback and determine technique adjustments. The subtle differences described above set a high requirement for the system’s accuracy.

 

The aim of this assignment is to develop a turn-key high-precision GPS system that can be used for accurately determining cyclist’s positions and has the potential to be used for different types of sports as well (for example running football, sailing).

 

The entire assignment brief can be downloaded as a PDF from here.