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aanchal-gupta
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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 .
BLINK DETECTIONThere are two situations to deal –
Quality of camera is not good as USB
Closer to person face using desktop and USB camera .
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