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Probabilistic modeling for position and orientation estimation using inertial sensors

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If you have a question about this talk, please contact Carl Edward Rasmussen.

In this talk I will give an overview of my PhD research. I will first introduce the topic of position and orientation estimation using inertial sensors and our approach to solving the problem. The information from the inertial sensors typically needs to be combined with measurements from other sensors and / or with additional models. I will discuss a number of examples of this that we have been working on: inertial human body motion capture, and the use of magnetometers and ultrawideband in combination with inertial sensors.

This talk is part of the Machine Learning @ CUED series.

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