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ANCHAL GUPTA C.S.E – 3 RD YEAR 1403510006 B.B.D.I.T

Eye phone technology

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ANCHAL GUPTA

C.S.E – 3RD YEAR

1403510006

B.B.D.I.T

INTRODUCTION

Hand free Interfacing System .

Used only by users eye movement

Camera mounted on front .

Track the eye and infer its position .

Nokia N810 presents it .

Human Computer Interface (HCI) has introduce touchscreen .

HUMAN PHONE INTERACTIONIt presents new challenges need to addressed driven by –

Issues of mobility

Factors of the phone

Resource limitation

Mobility challenges –

Uncontrolled movement

Hardware challenges –

It adopt light weight machine learning techniques to run properly.

HUMAN COMPUTER INTERACTION

HCI is the study of how people interact with computers and to what extent computers are or are not developed for successful interaction with human beings .

Most HCI technology addresses the interaction between people and computers in ideal environment , i.e. , where people sit infront of a desktop machine with specialized sensors and cameras centered on them .

EYE PHONE DESIGNThe eyephone algorithmic design breaks down into

following pipeline phases they are –

Eye Detection Phase

Open Eye Template Creation Phase

Eye Tracking Phase

Blink Detection Phase

EYE DETECTION PHASEThe eye pair is identified by the left and right eye contours

Left fig: Eye contour pair returned by the original algorithm running on a desktop with a USB camera . The two white clusters identify the eye pair .

Right fig : The no. of contours returned by Eye Phone on the Nokia N810 . The smaller dots are erroneously interpreted as eye contours.

OPEN EYE TEMPLATES CREATION

It extract the templates every time the eye pair is lost . It rely different strategies.

It creates the template of user open eye once at the beginning .

Template is saved in the persistent memory and fetched when Eye Phone is invoked .

EYE TRACKING

It based on template matching.

The search window is limited to a region which is twice the size of box enclosing the eye .

CONCEPTS IN NOKIA N810

BLINK DETECTIONThere are two situations to deal –

Quality of camera is not good as USB

Closer to person face using desktop and USB camera .

APPLICATIONTwo applications they are –

Eye Menu

Car Driver Safety

EYE MENU

It is customized by users.

Eye mapped to one of nine buttons

If we blink application is launched.

Eye menu on the Nokia N900 while looking the display , a button is highlighted

If it matches the eye position on the display.

The highlighted button is ready to be clicked with a blink of eye.

In this example , the user is looking at the SMS keypad is launched by blinking the eye.

CAR SAFETY DRIVER

It detect driver’s drowsiness and distractions in cars.

Dedicated by sensors and cameras .

CONCLUSION

The Eye Phone relies on eye tracking and blink detection to drive a mobile phone .

Eye Phone is a promising approach to drive mobile application as hand free manner

QUESTIONS ??????