Publication Date
2019
Document Type
Dissertation/Thesis
First Advisor
Mills, William J.
Second Advisor
Martin, Kevin B.
Degree Name
M.S. (Master of Science)
Legacy Department
Department of Engineering Technology
Abstract
This study examined the possibility of creating a quantitative radiometric spectrometer from a low-cost relative radiometric spectrometer sensor through the use of statistical analysis and development of a correction factor (p > 0.05). Radiometric spectrometers are able to measure and fully characterize the radiometric and photometric characteristics of light, while relative spectrometers are not able to fully, quantitatively characterize the radiometric response from a light source, thus they are less expensive. The spectrometer created in this research is able to measure and produce comparative lighting parameters as well as an actual radiometer spectrometer.
The photoreceptors cells within the human eye allow for the perception of light. Light measurement instruments, such as photometers and spectrometers, analyze light based on the human eye or energy, or both responses to quantify light exposure. The measurement of light is increasingly important in human biology due to expanding knowledge on how different quantities of illumination and spectrums of light can hinder biological performance. In response, a wearable and handheld spectrometer was created to better monitor the spectral effects that light can have on human biology.
Recommended Citation
Cathey, Justin Leslie, "Validation of a Low-Cost Sensor for Development of Wearable and Handheld Spectrometers" (2019). Graduate Research Theses & Dissertations. 6903.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/6903
Extent
152 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
Included in
Biology Commons, Environmental Health Commons, Operations Research, Systems Engineering and Industrial Engineering Commons