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Research project: Optimized athlete body sensor networks for simulation-based performance analysis

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Computer simulations are used routinely to predict the performance of designs, for example the aerodynamic drag of an aircraft. Using such simulations, designs can be used as a means to improve performance. Advances in computer simulations mean that we can now simulate the performance of the human body. However, unlike engineering design where the designer specifies the geometry and movement, it is difficult to capture the geometry and movement of the human body upon which simulations are based.

Our contention is that the ability to use a whole body network of non-intrusive, rugged, wireless motion sensors will offer a step-change in ability to capture body motions required to deduce fluid loadings and likely muscular activity in swimming.

Our goal is the accurate simulation of the performance of swimmers in a competition environment. Such understanding will facilitate equipment, technique and strategy optimization.

We have already enhanced Olympic athlete training sessions with real-time feedback on technique, and shown how technique can be optimized using musculoskeletal simulation.

Funded by UK Sport and the EPSRC.

Activity monitoring with sensors
Activity monitoring with sensors
Sensor system testing with elite athletes
Sensor system testing

Related research groups

Computational Engineering and Design
Maritime Engineering
Active Living and Rehabilitation



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