Near Infrared Equipment through the Ages and into the Future

NIR news ◽  
2016 ◽  
Vol 27 (1) ◽  
pp. 41-44 ◽  
Author(s):  
Franklin E. Barton
Keyword(s):  
Near Infrared ◽  
The Future

scholarly journals A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles

2021 ◽  
Vol 15 ◽  
Author(s):  
Stephanie Balters ◽  
Joseph M. Baker ◽  
Joseph W. Geeseman ◽  
Allan L. Reiss
Keyword(s):  
Brain Imaging ◽  
Near Infrared ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Autonomous Driving ◽  
Functional Brain Imaging ◽  
Future Research ◽  
Functional Near Infrared Spectroscopy ◽  
Methodological Review ◽  
The Future

As automobile manufacturers have begun to design, engineer, and test autonomous driving systems of the future, brain imaging with functional near-infrared spectroscopy (fNIRS) can provide unique insights about cognitive processes associated with evolving levels of autonomy implemented in the automobile. Modern fNIRS devices provide a portable, relatively affordable, and robust form of functional neuroimaging that allows researchers to investigate brain function in real-world environments. The trend toward “naturalistic neuroscience” is evident in the growing number of studies that leverage the methodological flexibility of fNIRS, and in doing so, significantly expand the scope of cognitive function that is accessible to observation via functional brain imaging (i.e., from the simulator to on-road scenarios). While more than a decade’s worth of study in this field of fNIRS driving research has led to many interesting findings, the number of studies applying fNIRS during autonomous modes of operation is limited. To support future research that directly addresses this lack in autonomous driving research with fNIRS, we argue that a cogent distillation of the methods used to date will help facilitate and streamline this research of tomorrow. To that end, here we provide a methodological review of the existing fNIRS driving research, with the overarching goal of highlighting the current diversity in methodological approaches. We argue that standardization of these approaches will facilitate greater overlap of methods by researchers from all disciplines, which will, in-turn, allow for meta-analysis of future results. We conclude by providing recommendations for advancing the use of such fNIRS technology in furthering understanding the adoption of safe autonomous vehicle technology.

scholarly journals The principles, practices and some future applications of near infrared spectroscopy for predicting the nutritive value of foods for animals and humans

1997 ◽  
Vol 10 (1) ◽  
pp. 83-114 ◽  
Author(s):  
D. I. Givens ◽  
J. L. De Boever ◽  
E. R. Deaville
Keyword(s):  
Egg Production ◽  
Nutritive Value ◽  
Near Infrared ◽  
Starch Content ◽  
Animal Health ◽  
Nir Spectroscopy ◽  
Vital Role ◽  
Future Application ◽  
Current Application ◽  
The Future

AbstractThe current application and future potential of near infrared (NIR) spectroscopy in the evaluation of foods for domesticated animals and humans is enormous. Where used, NIR spectroscopy has revolutionized the analysis and nutritional evaluation of animal feeds and human foods by providing a rapid means of examination. The availability of accurate and rapid methods of evaluation is becoming increasingly important to meet the nutritional requirements of animals for meat, milk, wool and egg production. This is essential for efficient and economic animal production, to maintain animal health and to minimize environmental impact. Accurate evaluation methods are also needed in relation to national and international legislation that regulates the circulation, trade and inspection of foods and feeds, aids effective functioning of the market and guards the safety of animals and humans. The aim of this review is to outline the theory and principles of NIR spectroscopy and to focus primarily on its application in the field of animal nutrition. The vital role NIR spectroscopy is playing in the prediction of biologically meaningful feed characteristics, including data derived in vivo, is demonstrated particularly through its application to forage evaluation, but also in the examination of raw materials and compound feeds. While the applications of NIR spectroscopy to different foods and drinks are extensive, this review gives an overview only of selected reported applications including its use for predicting nutritive value (mainly water, protein, fat, sucrose and starch content), monitoring food processing and for food authentication. The review provides clear evidence that the future application of NIR spectroscopy will undoubtedly increase, playing a vital role in the authentication of the quality and origin of foods and feeds and enabling the complex methods of feed evaluation required in the future to be put into widespread use.

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