A rotation experiment on the Digital Motion Processor of the Midge

Bachelor thesis (2022)

Authors

B.J. Engbers Electrical Engineering, Mathematics and Computer Science

Contributors

H.S. Hung Pattern Recognition and Bioinformatics - EEMCS (mentor)
S. Tan Pattern Recognition and Bioinformatics - EEMCS (mentor)
O.E. Scharenborg (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Bent Engbers Engbers
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Published Date

28-01-2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This thesis has researched how the Midge compares to a modern mobile phone regarding the accuracy and reliability of the rotation vector from the DMP in both devices. The rotation of the main axis of the Midge accurately matches that of the modern mobile phone, which means that the accuracy and reliability of the rotation vector from the DMP of both devices are mostly similar. The rotation of the secondary axes of the Midges do not exactly match that of the mobile phone. Additionally, the rotation of the secondary axes differs for each Midge. These differences might suggest that the DMP of the Midges are less accurate at detecting small changes. Further research is required to draw a definite conclusion.