Rapid Eye Movement Monitoring System Using Artificial Intelligence Techniques

2020 ◽  
pp. 605-610
Author(s):  
M. Vergin Raja Sarobin ◽  
Sherly Alphonse ◽  
Mahima Gupta ◽  
Tushar Joshi
Keyword(s):  
Artificial Intelligence ◽  
Eye Movement ◽  
Monitoring System ◽  
Rapid Eye Movement ◽  
Artificial Intelligence Techniques ◽  
Movement Monitoring

Design of eye movement monitoring system for practical environment

1991 ◽  
Author(s):  
Hiroyuki Nakamura ◽  
Hitoshi Kobayashi ◽  
Katsuo Taya ◽  
Shigenobu Ishigami
Keyword(s):  
Eye Movement ◽  
Monitoring System ◽  
Movement Monitoring

scholarly journals Metasurface-based Augmented Reality Headset Equipped with an Eye Movement Monitoring System

2021 ◽  
Author(s):  
tara afra ◽  
mohammad reza salehi ◽  
Ebrahim Abiri
Keyword(s):  
Eye Movements ◽  
Augmented Reality ◽  
Eye Movement ◽  
Monitoring System ◽  
Rectangular Waveguide ◽  
Digital Images ◽  
Display System ◽  
Movement System ◽  
Movement Monitoring

Abstract In this paper, a metasurface-based waveguide display equipped with an eye movement monitoring system is presented. In the suggested device, the functions of the eye movement system and AR are completely independent of each other and are designed in two separate sections at wavelengths 775 nm and 635 nm respectively. In the next part, in order to investigate the effects of the shape of the waveguide on FOV and efficiency, a multifunctional display system comprise of a single rectangular waveguide with two sensitive polarization channels are designed to operate as an AR and eye movement monitoring system simultaneously at visible and IR wavelengths respectively. In both devices, monitoring eye movements can be done over the range of -24º to 24º and the digital images are displaced in the user’s FOV based on horizontal eye positions. Although the first suggested system is heavier than one, its FOV is almost more than twice of the second system. The results indicate that metasurface-based waveguide technology can be considered as an appropriate platform for developing wearable eye movement systems.

Identification of Local Comprehension Difficulty Through Eye-Movement Monitoring

1999 ◽  
Author(s):  
Shun-Nan Yang ◽  
George W. Mcconkie
Keyword(s):  
Eye Movement ◽  
Comprehension Difficulty ◽  
Movement Monitoring

Endothelial function and sleep: Associations of flow-mediated dilation with perceived sleep quality and rapid eye movement (REM) sleep

2013 ◽  
Author(s):  
Denise C. Cooper ◽  
Michael G. Ziegler ◽  
Milos S. Milic ◽  
Sonia Ancoli-Israel ◽  
Paul J. Mills ◽  
...  
Keyword(s):  
Endothelial Function ◽  
Sleep Quality ◽  
Eye Movement ◽  
Rem Sleep ◽  
Flow Mediated Dilation ◽  
Rapid Eye Movement ◽  
Perceived Sleep Quality

Nursing Movement Monitoring System Utilizing Hetero-core Fiber Optic Sensors Embedded in Medical Thin Films

2018 ◽  
Vol 138 (12) ◽  
pp. 525-532
Author(s):  
Masahiko Ito ◽  
Yuya Koyama ◽  
Michiko Nishiyama ◽  
Emi Yanagisawa ◽  
Mariko Hayashi ◽  
...  
Keyword(s):  
Thin Films ◽  
Monitoring System ◽  
Fiber Optic ◽  
Fiber Optic Sensors ◽  
Core Fiber ◽  
Movement Monitoring

924-P: Pattern Mining of Trajectories of Glucose Values of Continuous Glucose Monitoring System by Artificial Intelligence in Type 2 Diabetes Patients

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 924-P
Author(s):  
MASAKI MAKINO ◽  
RYO YOSHIMOTO ◽  
MIZUHO KONDO-ANDO ◽  
YASUMASA YOSHINO ◽  
IZUMI HIRATSUKA ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Type 2 Diabetes ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Pattern Mining ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
Diabetes Patients
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