New Advancements in Head-Worn Sensors

Master Thesis (2023)
Author(s)

C.A. Peppelman (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Przemysław Pawełczak – Mentor (TU Delft - Embedded Systems)

J. Yang – Graduation committee member (TU Delft - Web Information Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Christian Peppelman
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Christian Peppelman
Graduation Date
27-09-2023
Awarding Institution
Delft University of Technology
Programme
['Electrical Engineering | Embedded Systems']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Non-invasive head-worn sensors are an upcoming field of interest. Most commercial sensors and sensors presented in research papers are limited in their capabilities and require frequent user interaction. In this Thesis, we research the possibilities of overcoming some of these limitations and extending the capabilities of these sensors.

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