Radar Based Human Vital Signs Detection in Cars

State of the Art Analysis

Bachelor thesis (2020)

Authors

J. Massey Electrical Engineering, Mathematics and Computer Science
E. van Veldhuijzen Electrical Engineering, Mathematics and Computer Science

Contributors

F. Fioranelli Microwave Sensing, Signals & Systems - EEMCS (mentor)
F. Fioranelli Microwave Sensing, Signals & Systems - EEMCS (graduation committee member)
Carolina Varon Signal Processing Systems - EEMCS (graduation committee member)
Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2020 Jasper Massey, Emiel van Veldhuijzen
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Published Date

23-06-2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This thesis compares several technologies to detect human vital signs in cars, in particular respiration and heartbeat, to avoid babies from being left behind in the car. The thesis starts with imposing mandatory and trade-off requirements. The thesis continues with a global overview of the possible technologies based on a literature study. The most promising technologies for our implementation: radar, sonar, infrared and optical camera are chosen to investigate further. Based on this further investigation, the technologies are compared based on the mandatory and trade-off requirements.