PPT on blue eyes technoogy

2. OUTLINE
• INTRODUCTION
• WHAT IS BLUE EYESTECHNOLOGY
• THE TERM BLUE EYES
• WHY BLUE EYES SYSTEM
• OVERVIEW
• EMOTIONAL SENSORS
• TYPES OF EMOTIONAL SENSORS
• ADVANTAGES
• DISADVANTAGES
• FUTURE APPLICATIONS
• CONCLUSION

3. INTRODUCTION
• Humancognitiondepends primarily onthe ability to
perceive, interpret, and integrate audio-visuals and
sensoringinformation.
• The BLUEEYEStechnology aims at creating computational
machines that have perceptualand sensory ability like those of
human beings.
• The machine canunderstandwhat a userwants, where he is
looking at, and even realize hisphysical or emotional states.

4. WHAT is Blue Eyes
Technology?
• Aims at creating
computational machines
that have sensory abilities
like those of human
beings.
• Usecamera and
microphone to identify
user actions and
emotions.

5. The term Blue Eyes
• BLUE: This term stands for Bluetooth, which
enables reliable wireless communication.
• EYES:As the movement enables usto obtain a
lot of interesting and important information.
• Bluetooth device +Eyes tracking Device

6. WHY Blue Eyes?
• Toavoid and reduce Human limitation suchas:
– Tiredness
– Oversight
– Mental illness,etc…
– Monitoring of consciousbrain involvement (automation,
long driving)
• Tobuilt amachine that canunderstand your emotions
• Verify your identity, feels your presence and interact
with you.

7. System Overview
• Blue eyes system monitors the status of the operator’s visual
attention through measurement of saccadic activity.
• The system checks parameters like heart beat rate and blood
oxygenation against abnormal and triggers user defined
alarms.
• Blue Eyes system consistsof
– Mobile measuring device(DAU)
– Central System Unit(CSU)

9. Data AcquisitionUnit
Features :
– Lightweight
– Runson batteries-
low power
consumption
– Easyto use
– ID cards for
operator
authorization
Atmel 89C52
microcontroller
Jazz
Multisensor
Bluetooth

10. Bluetooth Module
MicroController
Multi Sensors

11. Central System Unit
• Components :
– CONNECTION MANAGER –main task to
perform low-level Bluetooth communication.
– DATA ANALYSIS MODULE –performs the
analysis of the raw sensor data in order to
obtain information about operator’s
physiological condition.
– DATA LOGGERMODULE –provides support
for storing the monitored data.
– VISUALIZATION MODULE –provides user
interface for the supervisors.

12. Central System Unit
• Features :
– Maintains Bluetooth
connections
– Data processing
– Records conclusion for
further exploration
– Provides visualization
interface
Data Analysis
Visualization
Module
Bluetooth
Connection
Manager
Data
Logger

13. Emotional Sensors
• People spend approximately 1/3 of their total computer
time touching inputdevice.
• Physiological data is obtained and emotional state is
determined.
• A user model will built the reflection of the personality
of user.

14. Types of Emotion Sensors
• ForHand:
1) EmotionMouse
• ForEyes:
1) ExpressionGlasses
2) MagicPointing
• ForVoice:
1)Artifical Intelligence Speech Recognition

15. EmotionMouse
• Emotion mouse sensethe
mood byanalyzing pressure
, temperatureand heart
beat of the user.
• Analyzing these
parameters six typesof
mood can besensed by
computer.

16. EMOTION MOUSE

17. Samples obtained by
Emotion Mouse

18. ExpressionGlassess
•
A wearable devicewhich
allows any viewer to
visualize the confusion
and interest levels of the
wearer.

19. MAGIC pointing
• MANUAL AND GAZE
INPUT CASCADED
(MAGIC) POINTING is
the technique of tracking
eye movement of the
user and perform the
desired operation.
• Webcam is used to quickly
determine the glints and
pupils of the user under
variable and realistic
lightning conditions.

20. • Reduce the cursor movement needed for target
selection.

21. MAGICPOINTING
Two magic pointingtechniques
- Liberal
- Conservative
• LIBERAL APPROACH
Towarp the cursorto everynew object userlooks at
• CONSERVATIVE APPROACH
Doesnot warp the cursortarget until the manualinput device has
beenactuated

22. For Voice:
ARTIFICIAL INTELLIGIENT
SPEECH RECOGNITION

23. ARTIFICIALINTELLIGIENT SPEECH
RECOGNITION
• Input words are scanned and matched against internally
stored words.
• Identification causessomeaction to be taken ,User speaksto
the computer through microphone.
• Filtered and then stored in RAM

24. ARTIFICIALINTELLIGENT SPEECH
RECOGNITION
APPLICATIONS
• Tocontrol weapons by voice commands.
• Pilot give commands to computers by speaking
into microphones.
• Canbe connected to word processors and instead of
writing, simply dictate to them.

25. Advantages
• Physiological condition monitoring
• Reducesmanualwork
• Increases efficiency
• Minimization of ecological consequences
Disadvantages
• Not 100%accurate.
• System is bulky,needs minimization.
• Expensive

26. Future Applications
• In retailing record and interpret customer movements
• In automobileindustry
• In videogames
• Military
• Powerstation
• Flight controlcentres
• Ovens andrefrigerators

27. CONCLUSION
• Provide more delicate and user friendly facilities in
computing devices.
• Gapbetween the electronic and physical world is
reduced.
• The computers can be run using implicit commands
instead ofthe explicit commands.