Safety Issues and Infrared Light

2013 ◽  
pp. 1062-1083
Author(s):  
Fiona Mulvey ◽  
Arantxa Villanueva ◽  
David Sliney ◽  
Robert Lange ◽  
Michael Donegan
Keyword(s):  
Eye Tracking ◽  
Infrared Light ◽  
Light Sources ◽  
Continuous Exposure ◽  
Eye Tracker ◽  
Tracking Systems ◽  
Safety Issues ◽  
Safety Standards ◽  
Test House ◽  
Ir Light

Infrared light is the most common choice for illumination of the eye in current eye trackers, usually produced via IR light-emitting diodes (LEDs). This chapter provides an overview of the potential hazards of over-exposure to infrared light, the safety standards currently in place, configurations and lighting conditions employed by various eye tracking systems, the basics of measurement of IR light sources in eye trackers, and special considerations associated with continuous exposure in the case of gaze control for communication and disabled users. It should be emphasised that any eye tracker intended for production should undergo testing by qualified professionals at a recognised test house, in a controlled laboratory setting. However, some knowledge of the measurement procedures and issues involved should be useful to designers and users of eye tracking systems.

Safety Issues and Infrared Light

2012 ◽  
pp. 336-358 ◽  
Author(s):  
Fiona Mulvey ◽  
Arantxa Villanueva ◽  
David Sliney ◽  
Robert Lange ◽  
Michael Donegan
Keyword(s):  
Eye Tracking ◽  
Infrared Light ◽  
Light Sources ◽  
Continuous Exposure ◽  
Eye Tracker ◽  
Tracking Systems ◽  
Safety Issues ◽  
Safety Standards ◽  
Test House ◽  
Ir Light

Infrared light is the most common choice for illumination of the eye in current eye trackers, usually produced via IR light-emitting diodes (LEDs). This chapter provides an overview of the potential hazards of over-exposure to infrared light, the safety standards currently in place, configurations and lighting conditions employed by various eye tracking systems, the basics of measurement of IR light sources in eye trackers, and special considerations associated with continuous exposure in the case of gaze control for communication and disabled users. It should be emphasised that any eye tracker intended for production should undergo testing by qualified professionals at a recognised test house, in a controlled laboratory setting. However, some knowledge of the measurement procedures and issues involved should be useful to designers and users of eye tracking systems.

scholarly journals Accurate Model-Based Point of Gaze Estimation on Mobile Devices

Vision ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 35 ◽  
Author(s):  
Braiden Brousseau ◽  
Jonathan Rose ◽  
Moshe Eizenman
Keyword(s):  
Eye Tracking ◽  
Mobile Devices ◽  
Head Movements ◽  
Roll Angle ◽  
New Method ◽  
Estimation Methods ◽  
Infrared Light ◽  
Gaze Estimation ◽  
Tracking Systems ◽  
Estimation Models

The most accurate remote Point of Gaze (PoG) estimation methods that allow free head movements use infrared light sources and cameras together with gaze estimation models. Current gaze estimation models were developed for desktop eye-tracking systems and assume that the relative roll between the system and the subjects’ eyes (the ’R-Roll’) is roughly constant during use. This assumption is not true for hand-held mobile-device-based eye-tracking systems. We present an analysis that shows the accuracy of estimating the PoG on screens of hand-held mobile devices depends on the magnitude of the R-Roll angle and the angular offset between the visual and optical axes of the individual viewer. We also describe a new method to determine the PoG which compensates for the effects of R-Roll on the accuracy of the POG. Experimental results on a prototype infrared smartphone show that for an R-Roll angle of 90 ° , the new method achieves accuracy of approximately 1 ° , while a gaze estimation method that assumes that the R-Roll angle remains constant achieves an accuracy of 3.5 ° . The manner in which the experimental PoG estimation errors increase with the increase in the R-Roll angle was consistent with the analysis. The method presented in this paper can improve significantly the performance of eye-tracking systems on hand-held mobile-devices.

Evaluating Eye Tracking Systems for Computer Input

2012 ◽  
pp. 205-225 ◽  
Author(s):  
I. Scott MacKenzie
Keyword(s):  
Eye Tracking ◽  
Sensory Input ◽  
Computer Control ◽  
Eye Tracker ◽  
Tracking Systems ◽  
Interaction Function ◽  
Motor Responses ◽  
Input Channel ◽  
Computer Input

When a human uses an eye tracker for computer control, the eye is called upon to do ‘double duty’. Not only is it an important sensory input channel, it also provides motor responses to control the computer. This chapter discusses methods of evaluating the interaction. When an eye tracker is used for computer input, how well does the interaction function? Can common tasks be carried out efficiently, quickly, accurately? What is the user’s experience? How are alternative interaction methods evaluated and compared to identify those that work well, and deserve further study, and those that work poorly, and should be discarded? These are the sorts of questions that can be answered with a valid and robust methodology for evaluating eye trackers for computer input.

Image Analysis

2013 ◽  
pp. 1-14
Author(s):  
Detlev Droege
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Eye Tracking ◽  
Real Time ◽  
Basic Knowledge ◽  
Eye Tracker ◽  
Tracking Systems ◽  
Program Code ◽  
Time Performance

This chapter focuses on the image processing part of eye tracking systems. Basic knowledge of image processing is assumed. After an overview of the possible input images and some remarks on preprocessing of the images, we will focus on the detection relevant features such as pupils and glints. The last part of this chapter focuses on estimating positions of these features. It is not possible to present a comprehensive solution for an eye tracker in this chapter; however, we will indicate possible yet simplified methods in the different steps of processing and demonstrate how images can be processed to obtain real-time performance. The program code is given in Matlab (Octave) language for clarity.

Image Analysis

2012 ◽  
pp. 296-309
Author(s):  
Detlev Droege
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Eye Tracking ◽  
Real Time ◽  
Basic Knowledge ◽  
Eye Tracker ◽  
Tracking Systems ◽  
Program Code ◽  
Time Performance

This chapter focuses on the image processing part of eye tracking systems. Basic knowledge of image processing is assumed. After an overview of the possible input images and some remarks on preprocessing of the images, we will focus on the detection relevant features such as pupils and glints. The last part of this chapter focuses on estimating positions of these features. It is not possible to present a comprehensive solution for an eye tracker in this chapter; however, we will indicate possible yet simplified methods in the different steps of processing and demonstrate how images can be processed to obtain real-time performance. The program code is given in Matlab (Octave) language for clarity.

Quantum fountain infrared light sources based on intersubband emissions in quantum wells

1999 ◽  
Vol 09 (PR2) ◽  
pp. Pr2-161
Author(s):  
F. H. Julien ◽  
P. Boucaud ◽  
S. Sauvage ◽  
O. Gauthier-Lafaye ◽  
Z. Moussa
Keyword(s):  
Quantum Wells ◽  
Infrared Light ◽  
Light Sources

Do you see what I mean?: Using mobile eye tracking to capture parent–child dynamics in the context of anxiety risk

2021 ◽  
pp. 1-16
Author(s):  
Leigha A. MacNeill ◽  
Xiaoxue Fu ◽  
Kristin A. Buss ◽  
Koraly Pérez-Edgar
Keyword(s):  
Eye Tracking ◽  
Positive Reinforcement ◽  
Parental Behavior ◽  
Anxiety Level ◽  
Eye Tracker ◽  
Fine Grained ◽  
Controlling Parenting ◽  
Attractor Strength ◽  
Child Age ◽  
Mobile Eye Tracking

Abstract Temperamental behavioral inhibition (BI) is a robust endophenotype for anxiety characterized by increased sensitivity to novelty. Controlling parenting can reinforce children's wariness by rewarding signs of distress. Fine-grained, dynamic measures are needed to better understand both how children perceive their parent's behaviors and the mechanisms supporting evident relations between parenting and socioemotional functioning. The current study examined dyadic attractor patterns (average mean durations) with state space grids, using children's attention patterns (captured via mobile eye tracking) and parental behavior (positive reinforcement, teaching, directives, intrusion), as functions of child BI and parent anxiety. Forty 5- to 7-year-old children and their primary caregivers completed a set of challenging puzzles, during which the child wore a head-mounted eye tracker. Child BI was positively correlated with proportion of parent's time spent teaching. Child age was negatively related, and parent anxiety level was positively related, to parent-focused/controlling parenting attractor strength. There was a significant interaction between parent anxiety level and child age predicting parent-focused/controlling parenting attractor strength. This study is a first step to examining the co-occurrence of parenting behavior and child attention in the context of child BI and parental anxiety levels.

scholarly journals Manual on the proper use of sodium astatide ([211At]NaAt) injections in clinical trials for targeted alpha therapy (1st edition)

2021 ◽  
Author(s):  
Tadashi Watabe ◽  
Makoto Hosono ◽  
Seigo Kinuya ◽  
Takahiro Yamada ◽  
Sachiko Yanagida ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Japanese Society ◽  
Radiation Safety ◽  
Safety Management ◽  
Evaluation Methodology ◽  
Targeted Alpha Therapy ◽  
Safety Issues ◽  
Safety Standards ◽  
And Training ◽  
Alpha Therapy

AbstractWe present the guideline for use of [211At] sodium astatide (NaAt) for targeted alpha therapy in clinical trials on the basis of radiation safety issues in Japan. This guideline was prepared by a study supported by the Ministry of Health, Labour, and Welfare, and approved by the Japanese Society of Nuclear Medicine on 8th Feb, 2021. The study showed that patients receiving [211At]NaAt do not need to be admitted to a radiotherapy room and outpatient treatment is possible. The radiation exposure from the patient is within the safety standards of the ICRP and IAEA recommendations for the general public and caregivers. Precautions for patients and their families, safety management associated with the use of [211At]NaAt, education and training, and disposal of medical radioactive contaminants are also included in this guideline. Treatment using [211At]NaAt in Japan should be carried out according to this guideline. Although this guideline is applied in Japan, the issues for radiation protection and evaluation methodology shown here are considered internationally useful as well.

scholarly journals ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2234
Author(s):  
Sebastian Kapp ◽  
Michael Barz ◽  
Sergey Mukhametov ◽  
Daniel Sonntag ◽  
Jochen Kuhn
Keyword(s):  
Augmented Reality ◽  
Eye Tracking ◽  
User Interaction ◽  
R Package ◽  
Eye Tracker ◽  
Unity 3D ◽  
Accuracy And Precision ◽  
Head Mounted Displays ◽  
Virtual And Augmented Reality ◽  
Microsoft Hololens

Currently an increasing number of head mounted displays (HMD) for virtual and augmented reality (VR/AR) are equipped with integrated eye trackers. Use cases of these integrated eye trackers include rendering optimization and gaze-based user interaction. In addition, visual attention in VR and AR is interesting for applied research based on eye tracking in cognitive or educational sciences for example. While some research toolkits for VR already exist, only a few target AR scenarios. In this work, we present an open-source eye tracking toolkit for reliable gaze data acquisition in AR based on Unity 3D and the Microsoft HoloLens 2, as well as an R package for seamless data analysis. Furthermore, we evaluate the spatial accuracy and precision of the integrated eye tracker for fixation targets with different distances and angles to the user (n=21). On average, we found that gaze estimates are reported with an angular accuracy of 0.83 degrees and a precision of 0.27 degrees while the user is resting, which is on par with state-of-the-art mobile eye trackers.

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