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GAZE CONTROL

EYE TRACKING FOR

HUMAN-COMPUTER INTERACTION

Abhijeet Patnaik, Kiran Kumar.R,

6th semester, EC 6th semester, EC
JNN College of Engineering JNN College of Engineering Shimoga Shimoga abhijeetpatnaik1995@gmail.com kirankumar_r28@hotmail.com

Abstract— Eye tracking has a long history in medical and psychological research as a tool for recording and studying human visual behavior. Real-time gaze-based text entry can also be a powerful means of communication and control for people with physical disabilities.

Following recent technological advances and the advent of affordable eye trackers, there is a growing interest in pervasive attention-aware systems and interfaces that have the potential to revolutionize mainstream human technology interaction. This report provides an introduction to eye tracking technology and gaze estimation.
There are a number of principles used in measuring eye movements. This paper focuses on two methods 1.tracking a number of visual features in the image of the eye 2. Measuring relative reflection of infra-red (IR) light. Finally, it includes a light on some of the applications of the eye tracking technique.

Keywords—Cognitive processes, Point of Gaze (POG), Saccades

I. Introduction The eye has a lot of communicative power. Eye contact and gaze direction are central and very important cues in human communication. The eye has also been said to be a mirror to the soul or window into the brain. Gaze behaviour reflects cognitive processes and can give hints of our thinking and intentions. We often look at things before acting on. Eye tracking refers to the process of tracking eye movements or the absolute point of gaze (POG)—referring to the point the user’s gaze is focused at in the visual scene. Eye tracking is useful in a broad range of application areas, from psychological research and medical diagnostic to usability studies and interactive, gaze-controlled applications. Initially, eye movements were mainly studied by physiological introspection and observation. The first generation of eye tracking devices was highly invasive and uncomfortable. A breakthrough in eye tracking technology was the development of the first ‘‘non-invasive’’ eye tracking apparatus in the early 1900s, based on photography and light reflected from the cornea. The development of unobtrusive camera-based systems and the increase of computing power enabled gathering of eye tracking data in real time, enabling the use of gaze as a control method for people with disabilities and also being used as mode of input to a computer.

HUMAN EYE PHYSIOLOGY

The eye is rotated by two pairs of direct muscles and a pair of oblique muscles functioning as antagonist pairs. The rotations are approximately symmetrical. The muscles control the six degrees of freedom of the eye presented in Figure 1. The lateral rectus abducts the eye toward the nose and the medial rectus adducts the eye away from the nose. These muscles move the eye in the horizontal plane. The remaining four muscles, the superior and inferior rectus (elevating and depressing the eye) and the superior and inferior oblique (controlling intrusion and extrusion) control the vertical motion of the eye. The optic nerve is encased by the muscles of the eye as it is lead backwards from the eye.

[pic] Figure 1: The six degrees of freedom of the eye.

II. EYE MOVEMENTS Eye movements can be broadly categorized into two main categories. 1. Stabilizing movements that try to hold the eye, or rather the image on the retina. 2. Saccadic movements that move the eye around the visual field and bring objects of interest to the area of sharp vision. Stabilizing eye movements include fixations, smooth pursuit movements. Saccadic eye movements include saccades and miniature eye movements. Eye movements are typically measured as degrees of visual angle. One degree of visual angle spans approximately 1 cm on a distance of 57 cm from the viewer’s eye.

2.1 Saccades: Saccades are fast and accurate ballistic eye movements used in repositioning the fovea to a new location in the visual environment. They can reach peak accelerations of 40000 deg/s2 and a peak velocity of 400-600 deg/s, varying with the amplitude of the saccade.

2.2 Miniature eye movements: Miniature eye movements are movements occurring during a fixation, namely tremor, drift and micro saccades. Tremor is a high-frequency oscillatory component ranging from 30 to 100Hz, and drift is a slow random motion of the eye away from a fixation point. Velocities of these types of movements are only a few arc min/s, and they have been interpreted as noise in the oculometer system.

2.3 Fixation: When directing gaze onto an object, the eyes move so that the image of the target object appears on the fovea of the retina. During fixations, the image of an object of interest is held approximately stable on the retina. Fixations generally last between 100-1000 ms, with the majority being between 200-500 ms.

2.4 Smooth pursuit: Smooth pursuit eye movements follow a slowly moving target, keeping the image of the object on the retina more or less stable. Smooth pursuit movements are capable of tracking an object moving 5-30 deg/s. above this velocity, saccadic movements compensate for the lag, “catching up” the target.

2.5 Torsional movements: Torsional movements are rotations of the eye about the line of gaze, and are generally limited to angles of less than 10 deg. The rolling motions may be stimulated by rotational opto kinetic nystagmus or by vestibular responses. That is, they respond to the head tilting sideways, compensating for the rotation of the visual field. [pic]
Figure 2: Table of eye movements

III. WORKING Eye tracking has long been known and used as a method to study the visual attention of individuals. There are several different techniques to detect and track the movements of the eyes. However, when it comes to remote, non‐intrusive eye tracking the most commonly used techniques are
1. Video oculography (VOG), video based tracking using head-mounted or remote visible light video cameras.
2. Video-based infrared oculography (IROG). The basic concept is to use a light source to illuminate the eye causing highly visible reflections, and a camera to capture an image of the eye showing these reflections. The image captured by the camera is then used to identify the reflection of the light source on the cornea (glint) and in the pupil. We can then calculate a vector formed by the angle between the cornea and pupil reflections—the direction of this vector, combined with other geometrical features of the reflections, is then used to calculate the gaze direction.

3.1 Video oculography: The task of a video-based eye tracker is to estimate the direction of gaze from the pictures delivered by a video camera. This method can perform eye tracking in ways: measuring angular eye position relative to the head (head mounted video systems), and measuring eye position relative to the surroundings (remote systems) As a general rule, the methods measuring eye position relative to the head are more accurate, and intended for the study of oculomotor dynamics, whereas the methods measuring eye position relative to the surrounding environment are used for gaze point measurements on a user interface. [pic] fig 3: Table top eye tracker

[pic] fig 4 : Head mounted eye tracker

Whatever is the type of system either head mounted or table-top, the steps involved in eye tracking are the same. These steps are illustrated in Figure 5.

[pic]

Fig 5: The process of video occulography Image/video acquisition is the first step of video-occulography. This can be done by using a single camera/webcam/IR camera. Sometimes multiple cameras may require for head tracking. The camera, to be used for acquisition, is attached to the raspberry pi which is connected to pc through USB and its driver software is installed. Face detection is done to determine whether or not there are any faces in the image and, if present return the image location and extent of each face. Face localization aims to determine the image position of a single face in an image. There are many methods reported in the literature for face detection via Face localization based on skin colour Knowledge based method, Facial feature based method, Texture based face localization, Appearance based method, Face localization using Haar like features. The selection of a particular method depends upon the environmental conditions, accuracy required, processing speed, complexity etc. Although any method can be used for face detection, but skin-color based method is very fast and simple to use. It has 100% detection rate when the image contains only one face and controlled lighting conditions. [pic] fig 6: Face localization using skin color Knowledge based method.

Eye localization is obtaining eye images is the next step of eye tracking. Eye images are generally extracted from face images. Any one of the following techniques can be used for eye localization: Gray projection model, Template matching, Kalman filtering, Geometric properties of the eyes, Projection function, Hybrid method (combination of two appropriate methods).

[pic]

fig 7: Eye localization using gray projection model

The following methods have been reported in the literature for eye pupil position detection: Cumulative distribution function (CDF) algorithm, Projection function (PF) algorithm, Edge analysis, Integral projection and Gaussian model, Iris shape feature/template matching, Circular Hough transform, Harris corner detector, Isophotes curvature estimation, Corner detection method.

[pic]

Fig 8 :Eye pupil position detection using corner detection method

3. 2 Infrared Oculography (IROG): It is based on the principal that, if a fixed light source is directed at the eye, the amount of light reflected back to a fixed detector will vary with the eye’s position. This method utilizes measuring the diffused reflection of infra-red light from the frontal surface of the eyeball. A number of IR light sources are used for illumination, and photo detectors aimed at receiving the reflected light for picking up the signal. The systems track the limbus (the boundary between sclera and iris), or the pupil-iris-boundary, to measure relative eye rotation. Infra-red light is used as this is "invisible" to the eye, and doesn’t serve as a distraction to the subject. As infra-red detectors are not influenced to any great extent by other light sources, the ambient lighting level does not affect measurements. Spatial resolution (the size of the smallest movement that can reliably be detected) is good for this technique, it is of the order of 0.1°, and temporal resolutions of 1ms can be achieved. The detection works well for measuring horizontal eye movements over a fairly large range between ±15° and ±40° depending on system design. For vertical movements, the signal little distorted, due to the fact that the eyelids occlude the iris-sclera boundary. Systems only based on visible light and pupil centre tracking tend to be inaccurate and sensitive to head movement. To address this problem, a reference point, a so called ‘‘corneal reflection’’ or glint, can be added. Such a reference point can be added by using an artificial infrared (IR) light source aimed on- or off-axis at the eye. An on-axis light source will result in a ‘‘bright pupil’’ effect, making it easier for the analysis software to recognize the pupil in the image. The effect is similar to the red-eye effect caused by flash in a photograph. The off-axis light results in ‘‘dark pupil’’ images. Both will help in keeping the eye area well lit but they do not disturb viewing or affect pupil dilation since IR light is invisible to the human eye. [pic]

[pic][pic]

fig 9: Bright and dark pupil effect.

By measuring the corneal reflection(s) from the IR source relative to the centre of the pupil, the system can compensate for inaccuracies and also allow for a limited degree of head movement. Gaze direction is then calculated by measuring the changing relationship between the moving pupil centre of the eye and the corneal reflection. As the position of the corneal reflection remains roughly constant during eye movement, the reflection will remain static during rotation of the eye and changes in gaze direction, thus giving a basic eye and head position reference. In addition, it also provides a simple reference point to compare with the moving pupil, and thus enables calculation of the gaze vector.

[pic]

fig 10: Corneal reflection using which point of gaze is measured.

IV.SYSTEM CONFIGURATION

The system configuration of table mounted eye tracking device we have used illumination source like IR projectors, video camera to acquire the image of the eye, raspberry pi board .these are interfaced together and raspberry pi is used to execute the program to acquire the image .This device is connected to the PC using USB cable. The PC which runs the application that perform eye tracking algorithm and application that can be controlled by gaze uses the gaze point data to perform the action programmed in the application. In VROG only a high resolution video camera needs to be connected to the computer, [pic] [pic]

[pic]

fig 11: Circuit of Eye tracking peripheral

[pic]

fig 12: System setup for table mounted Gaze control device

Once connected to PC the device need to be calibrated to set a reference. Initially images are taken of user gazing at certain points on the screen and stored then during interaction the real time image is compared with the stored reference images to accurately locate the gaze point which performs the programmed action e.g. opening a file in windows by gazing at the file.

V. ADVANTAGES Gaze control is one of the upcoming input modes because of its wide variety of applications and advantages. Some of the advantages are: 1. For many with a spinal cord injury, or other disabilities of limbs even simple tasks can require assistance. The best ways is through gaze control devices that provide access to a computer and the Internet. 2. It is faster than other current input media. 3. No training or particular coordination is required of normal users.

4. Can provide statistical data to the websites to see where the viewers are focusing and where the interest of masses lies.

VI. DISADVANTAGES:

1. The equipment is expensive. It’s not cheap to outfit a device with a decent eye tracker.

2. Calibrating the equipment takes time.

3. Eye movements, like other passive and non-command inputs are often non-intentional, so they must be interpreted carefully to avoid unwanted responses to user.

VII.APPLICATIONS:

1. Applications include web usability, advertising, sponsorship, and automotive engineering.

2. In general, commercial eye tracking studies function by presenting a target stimulus to a sample of consumers while an eye tracker is used to record the activity of the eye. 3. Vision based technologies are already widely used in the gaming field, enabling players to use gestures and full body movement to control the games, and eye tracking is envisioned to be part of future gaming. 4. Applications include Cognitive Studies, Medical Research Computer Usability, gaze controlled Vehicle for disabled. Virtual Reality, Communication systems for disabled, Product development, Computer vision.

VIII. CONCLUSION

Gaze control is no longer a niche technology used by specialized research laboratories or a few select user groups but actively exploited in a wide variety of disciplines and application areas. Video-based eye tracking, especially if implemented as a remote tracker, provides a fairly comfortable non-invasive (option for the users).Systems that combine the video which also provide reasonable freedom of head movement without sacrificing the accuracy too much.

For a disabled person, an eye control system is a way of communicating and interacting with the world and may be used extensively in varying conditions. After the first eye-controlled consumer product will enter the market. Wider use would mean lower costs. Thus, a breakthrough in one field can give a boost also to other areas of eye tracking.

IX. REFERENCES

1) http://www.tobii.com/tech/technology/

2) Päivi Majaranta and Andreas Bulling “Eye Tracking and Eye-Based Human–Computer Interaction” Chapter 3

3) https://en.wikipedia.org/wiki/Eye_tracking

4) Hari Singh, Dr. Jaswinder,” Singh Human Eye Tracking and Related Issues: A Review” International Journal of Scientific and Research Publications, Volume 2, Issue 9, September 2012 1 ISSN 2250-3153

5) http://www.tobiipro.com/learn-and-support/learn/how-do-tobii-eye-trackers-work/

6) M Ciesla and P Koziol, “Eye Pupil Location using Webcam”, Computer Vision and Pattern Recognition, 2012, pp 1-11.

7) http://journal.jp.fujitsu.com/en/2014/09/09/01/

8) K Arai, and R Mardiyanto, “Eye-based HCI with full specification of mouse and keyboard using pupil knowledge in the gaze estimation”, 2011 Eighth International Conference in Information Technology: New Generation, 2011, pp 423-428.

9) https://www.ecse.rpi.edu/~cvrl/zhiwei/gazetracking/gazetracking.html

10) http://twiki.cis.rit.edu/twiki/bin/view/MVRL/QuadTracker

11) A Phophalia, B Kansara, and S K Mitra, ”A Hybrid Approach for Eye Localization in Video”, 2011 National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 2011, pp 98-101.

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Finance

...with the number of products that are produced for sale. Example of these costs includes wages of production, electricity power to run machines, raw materials and the cost of maintaining inventory. These costs fluctuate depending on the activity of the business and should be controlled for the business to accrue profits. Various strategies can be employed to control variable costs (Bragg, 2011). Products and service provided need to be scrutinized in order to find out the most cost effective one. The costs can be reduced by reducing the production of products that provide least profits while at the same time investing in products that are more lucrative. For example, raw material can be scrutinized to find out the best sources that will be more cost effective in the production of various products. Another way to control the costs is to cut expenditure on fluctuating costs such as employee salaries and advertising costs before targeting the fixed costs like utilities and rent. Reducing fixed costs can put strain on the operational and financial status of the business compared to when variable costs are cut. This control strategy may be challenging especially in the case where there is stiff competition. For instance, to be able to compete favorably in...

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