scholarly journals A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy

2018 ◽  
Vol 12 ◽  
Author(s):  
Anh Son Le ◽  
Hirofumi Aoki ◽  
Fumihiko Murase ◽  
Kenji Ishida
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Mental Workload ◽  
Novel Method

Mental Workload Classification and Measurement Using Functional Near-Infrared Spectroscopy (fNIRS)

2015 ◽  
Vol 35 (s1) ◽  
pp. s130002
Author(s):  
潘津津 Pan Jinjin ◽  
焦学军 Jiao Xuejun ◽  
王春慧 Wang Chunhui ◽  
陈善广 Chen Shanguang ◽  
焦典 Jiao Dian ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Mental Workload ◽  
Functional Near Infrared Spectroscopy

Characterization of molecular orientation under tensile deformation by near infrared spectroscopy

e-Polymers ◽  
2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Masami Mizushima ◽  
Takanobu Kawamura ◽  
Kenji Takahashi ◽  
Koh-hei Nitta
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Tensile Deformation ◽  
Crystal Form ◽  
Orientation Function ◽  
Chain Axis ◽  
Stretching Vibration ◽  
Novel Method

AbstractWe present a novel method for characterizing orientation behavior of typical polyethylene (PE) materials such as HDPE, LLDPE, and LDPE. The chain orientation to the stretching direction was examined under uniaxial deformation by near infrared spectroscopy. Then we obtained directly the orientation function of PE chain axis (c-axis) from the CH stretching vibration of NIR spectra as a function of extension time or strain. We compared the present method with the conventional infrared IR method where the orientation function of PE c-axis (chain-axis) has been indirectly obtained from the b-and a-axis’s assuming the orthogonal crystal form by using the CH2 rocking vibrations in IR spectra

Mental Workload Assessment Based on Functional Near-Infrared Spectroscopy

2014 ◽  
Vol 34 (11) ◽  
pp. 1130002
Author(s):  
潘津津 Pan Jinjin ◽  
焦学军 Jiao Xuejun ◽  
姜劲 Jiang Jing ◽  
徐凤刚 Xu Fenggang ◽  
杨涵钧 Yang Hanjun
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Mental Workload ◽  
Functional Near Infrared Spectroscopy

Fullerene Based Nanomaterials for Biomedical Applications: Engineering, Functionalization and Characterization

2013 ◽  
Vol 633 ◽  
pp. 224-238 ◽  
Author(s):  
Lidija Matija ◽  
Roumiana Tsenkova ◽  
Jelena Munćan ◽  
Mari Miyazaki ◽  
Kyoko Banba ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Biomedical Applications ◽  
Near Infrared ◽  
Biological Properties ◽  
Cage Structure ◽  
Carbon Cage ◽  
Novel Method ◽  
Medicine Analysis ◽  
New Skin

Since their discovery in 1985, fullerenes have attracted considerable attention. Their unique carbon cage structure provides numerous opportunities for functionalization, giving this nanomaterial great potential for applications in the field of medicine. Analysis of the chemical, physical, and biological properties of fullerenes and their derivatives showed promising results. In this study, functionalized fullerene based nanomaterials were characterized using near infrared spectroscopy, and a novel method - Aquaphotomics. These nanomaterials were then used for engineering a new skin cream formula for their application in cosmetics and medicine. In this paper, results of nanocream effects on the skin (using near infrared spectroscopy and aquaphotomics), and existing results of biocompatibility and cytotoxicity of fullerene base nanomaterials, are presented.

scholarly journals Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christoph F. Geissler ◽  
Jörn Schneider ◽  
Christian Frings
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Spatial Information ◽  
Mental Workload ◽  
Middle Frontal Gyrus ◽  
Brain Computer Interfaces ◽  
Functional Near Infrared Spectroscopy ◽  
Computer Interfaces ◽  
The Right

AbstractOptimal mental workload plays a key role in driving performance. Thus, driver-assisting systems that automatically adapt to a drivers current mental workload via brain–computer interfacing might greatly contribute to traffic safety. To design economic brain computer interfaces that do not compromise driver comfort, it is necessary to identify brain areas that are most sensitive to mental workload changes. In this study, we used functional near-infrared spectroscopy and subjective ratings to measure mental workload in two virtual driving environments with distinct demands. We found that demanding city environments induced both higher subjective workload ratings as well as higher bilateral middle frontal gyrus activation than less demanding country environments. A further analysis with higher spatial resolution revealed a center of activation in the right anterior dorsolateral prefrontal cortex. The area is highly involved in spatial working memory processing. Thus, a main component of drivers’ mental workload in complex surroundings might stem from the fact that large amounts of spatial information about the course of the road as well as other road users has to constantly be upheld, processed and updated. We propose that the right middle frontal gyrus might be a suitable region for the application of powerful small-area brain computer interfaces.

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