Multispectral skin imaging for biometrics

Rowe, Robert K.; Meigs, Andrew D.; Ostrom, Robert; Nixon, Kristin A.

doi:10.1364/fio.2004.ftul6

Cited by 1 publication

(2 citation statements)

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“…For example, the 500 -600 nm range corresponds to the intense absorption of light by hemoglobin in the blood (the phenomenon known as "blushing"), 1400 -1700 nm indicates water absorption (perspiration), and the 9000 -12000 nm range and has shown the ability to characterize body temperature 10 . The volume of information available in hyperspectral imaging yields information beyond that possible from broad spectral regions, such as changes in blood and/or perspiration 13 .…”

Section: Physiological Assessment Of Psychological Stressmentioning

confidence: 99%

“…The additional information available in hyperspectral imaging yields supplementary information that could potentially be exploited for identification of psychologically-induced stress (e.g. changes in blood flow and/or perspiration may become more evident in certain wavelength ranges) 13 . The capability to collect data over a range of wavelengths represents an advance in biometric technology.…”

Section: Physiological Assessment Of Psychological Stressmentioning

confidence: 99%

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Biometric study using hyperspectral imaging during stress

Nagaraj

Quoraishee

Chan

et al. 2010

Smart Biomedical and Physiological Sensor Technologies VII

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To the casual observer, transient stress results in a variety of physiological changes that can be seen in the face. Although the conditions can be seen visibly, the conditions affect the emissivity and absorption properties of the skin, which imaging spectrometers, commonly referred to as Hyperspectral (HS) cameras, can quantify at every image pixel. The study reported on in this paper, using Hyperspectral cameras, provides a basis for continued study of HS imaging to eventually quantify biometric stress. This study was limited to the visible to near infrared (VNIR) spectral range. Signal processing tools and algorithms have been developed and are described for using HS face data from human subjects. The subjects were placed in psychologically stressful situations and the camera data were analyzed to detect stress through changes in dermal reflectance and emissivity. Results indicate that hyperspectral imaging may potentially serve as a non-invasive tool to measure changes in skin emissivity indicative of a stressful incident. Particular narrow spectral bands in the near-infrared region of the electromagnetic spectrum seem especially important. Further studies need to be performed to determine the optimal spectral bands and to generalize the conclusions. The enormous information available in hyperspectral imaging needs further analysis and more spectral regions need to be exploited. Non-invasive stress detection is a prominent area of research with countless applications for both military and commercial use including border patrol, stand-off interrogation, access control, surveillance, and non-invasive and un-attended patient monitoring.

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Section: Physiological Assessment Of Psychological Stressmentioning

confidence: 99%

Section: Physiological Assessment Of Psychological Stressmentioning

confidence: 99%