Blue eye technology aims to enable computers to understand human behavior, feelings, and sensory abilities through technologies like visual attention monitoring, physiological condition monitoring, gesture recognition, facial recognition, and eye tracking. Some goals of blue eye technology are to create interactive computers that can act as partners to users by sensing their physical and emotional states and responding appropriately through technologies developed by IBM since 1997.
3. Definition:
Blue eye is the technology to make
computers sense and understand human
behavior and feelings and react in the
proper ways. The blue eye technology
aims at creating computational machines
that have perceptual and sensory ability
like those of human beings.
4. History:
Blue Eyes is a
technology conducted by
the research team of
IBM at its Almaden
Research Center (ARC)
in San Jose, California
since 1997.
5. THE TERM BLUE EYE:
BLUE in the term stands for Bluetooth,
which enables reliable wireless
communication.
EYE, because the eye movement
enables us to obtain a lot of interesting
and important information
6.
7. BASIC IDEA:
creating interactive computer.
computer acts as partner (and friend) to the user.
realizes his physical or emotional states.
gives computer human power.
provide technical means for monitoring and recording
operator physiological conditions
Design smarter devices .
Create devices with emotional intelligence .
8. BLUE EYE TECHNOLOGY:
Visual attention monitoring
Physiological condition
Wireless data acquisition using Bluetooth
Real time user defined alarm triggering
Recorded data playback
Gesture recognition,
Facial recognition,
Eye tracking,
Speech recognition,
14. Blue eye Technology works like Humans
All human beings have some perceptual capabilities.
60-70% communicate through eye expressions.
the ability to understand each other’s emotional level or feelings from their facial
expressions.
Blue eyes technology aims at creating a computer that have the abilities to
understand the perceptual powers of human being by recognizing their facial
expressions and react accordingly to them.
Blue eyes technology makes a computer to understand and sense human
feelings and behavior and also enables the computer to react according to the
sensed emotional levels.
15. Head pointing
A user controls the cursor by moving his head.
To select the target the user have to tap on
tap on the side touchpad of the glass
16. Eye gaze tracking:
The Eye gaze tracking methods explores a new way for handling ‘eye gaze’ for
man machine interfacing.
The gaze tracking has been deliberated as an excellent pointing method for
giving input to computers.
But many drawbacks exist with this traditional eye gaze tracking methods.
17. Advantages:
Eye movement is faster than other current input media
No training or particular coordination is required of normal users
Can determine where the user’s interest is focused automatically
Helpful for usability studies to understand users interact with their environments
18. MAGIC POINTING:
MANUAL AND GAZE INPUT CASCADED (MAGIC) POINTING.
This work explores a new direction in utilizing eye gaze for computer input.
Gaze tracking has long been considered as an alternative or potentially superior
pointing method for computer input. It is believed that many fundamental
limitations exist with traditional gaze pointing.
In particular, it is unnatural to overload a perceptual channel such as vision with a
motor control task.
19. Magic
pointing
Therefore an alternative approach of dubbed
MAGIC (Manual And Gaze Input Cascaded)
pointing is proposed. With such an
approach, pointing appears to the user to be
a manual task, used for fine manipulation
and selection. However, a large portion of
the cursor movement is eliminated by
warping the cursor to the eye gaze area,
which
encompasses the target.
20. Advantages of MAGIC Pointing
Technique:
Reduced physical effort compared with the traditional manual pointing
techniques.
Greater spontaneity than traditional manual pointing.
Greater accuracy.
Faster speed of operation than manual pointing.
21. For Eye -
Expression Glass:
By analyzing pattern recognition methods
and facial muscle variations, the glass senses
and identifies the expressions such as interest
or confusion of the user.
The prototype used for this glass uses
piezoelectric sensors.