Det humanistiske fakultet (kart)
Niels Henrik Abels vei 36
In this project we have examined best practice methods for filtering MoCap data for real-time applications; i.e. the potential for using low group delay filters and their appropriate design methods. To be able to target this challenge we have implemented an alternative filter design method based on multi-objective optimization. With this method we have been able to make a thorough comparison between different design methods and designed nearly optimal filters with arbitrary specifications that compares favorable to existing filters in literature. Additionally, to be able to design filters specific to our applications, we have conducted an experiment to determine the frequency specifications of MoCap data. Finally, based on these tools and results, we have proposed a range of filters suitable for real-time MoCap applications.