Optimising Measurements using Low-Power Headworn Sensors

Master thesis (2024)

Authors

J.S. Pronk Electrical Engineering, Mathematics and Computer Science

Contributors

Przemysław Pawełczak Embedded Systems (mentor)
Vivian Dsouza Embedded Systems (graduation committee member)
Burcu Kulahcioglu Kulahcioglu Ozkan Software Engineering (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
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Published Date

18-06-2024

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Even though much research has been conducted on body worn sensors, little research has been performed on specialized (non-ear-worn) headworn sensors. These sensors could be used to perform a variety of health related research. Therefore, this thesis focusses on a new low-power specialized (non-ear-worn) headworn sensor platform and explores how it can be improved.

Files

Master_Thesis_JP_final.pdf
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File under embargo until 18-06-2026