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BLUE EYES
TECHNOLOGY
Human operator
monitoring system
presented by
KCET 01.04.2011
1
DIVYA MOHAN
S.NAGA PRIYA
WHAT IS BLUE EYES TECHNOLOGY?
 Aims at creating computational machines
that have perceptual and sensory ability.
 Use camera and microphone to identify
user actions and emotions
?
KCET 01.04.2011
2
THE TERM BLUE EYES
 BLUE in the term stands for Bluetooth,
which enables reliable wireless
communication
 EYES , because the eye movement enables
us to obtain a lot of interesting and
important information.
KCET 01.04.2011
3
NEED OF BLUE EYES TECHNOLOGY
 To built a machine that can understand
your emotions
 A pc that can listen, talk or scream
 Verify your identity, feels your presence
and interact with you.
KCET 01.04.2011
4
TECHNOLGIES USED
 Emotion Mouse
 Manual And Gaze Input Cascaded (MAGIC)
 Artificial Intelligent Speech Recognition
 Simple User Interest Tracker (SUITOR)
 The eye movement Sensor
KCET 01.04.2011
5
EMOTION MOUSE
 Simplest way
 People spend approximately
1/3 of their total computer
time touching input device
 Physiological data is
obtained and emotional
state is determined
 A user model will be
built that reflects the
personality of user.
KCET 01.04.2011
6
KCET 01.04.2011
7
IBM RESEARCH
BLUE EYE – EMOTIONAL MOUSE
sensors in the mouse ,sense the physiological
attributes which are correlated to emotions using
corr- -elation model -by simply touching the
mouse ,the computer will be able to determine a
person’s emotional state.
BLUE EYE enabled TELEVISION
– could become active when the user makes an eye
contact.
KCET 01.04.2011
8
MAGIC POINTING
 Reduce the cursor movement needed for target
selection
 Click on the target with a regular manual
input device
 Two magic pointing techniques
 Liberal
 Conservative
KCET 01.04.2011
9
APPROACHES
 LIBERAL APPROACH
To warp the cursor to every new object user
looks at
 CONSERVATIVE APPROACH
Does not warp the cursor target until the
manual input device has been actuated
KCET 01.04.2011
10
ARTIFICIAL INTELLIGIENT
SPEECH RECOGNITION
 Input words are scanned and matched against
internally stored words
 Identification causes some action to be taken
User speaks to the computer through microphone
 Filtered and fed to ADC and then stored in RAM
 pattern matching is designed to look for the best fit
because of variations in loudness, pitch, frequency
difference, time gap etc.
KCET 01.04.2011
11
APPLICATION OF ARTIFICIAL
INTELLIGIENT SPEECH RECOGNITION
 To control weapons by voice commands
 Pilot give commands to computers by speaking
into microphones
 Can be connected to word processors and
instead of writing, simply dictate to them
KCET 01.04.2011
12
SUITOR
 Help by fetching more information at
desktop
 Notice where the user’s eyes focus on the
screen
 Fills a scrolling ticker on a computer screen
with information related to user’s task
 Ex. If reading headline ,pops up the story in
the browser window
KCET 01.04.2011
13
THE EYE MOVEMENT SENSOR
DESIGNING
 A personal area network for linking all the
operators and the supervising system
Two major units
- DAU (data acquisition unit )
- CSU (central system unit )
KCET 01.04.2011
14
DAU
 The DAU consists of the following components
 ATMEL 8952 microcontroller
 BLUE TOOTH MODULE – supports
synchronous voice
 data transmission
 central system sound feedback
 microcontroller (115200 bps)
 ALPHAUNUMERIC LCD display
 LED indicators
 ID CARD interface
KCET 01.04.2011
15
DAU - FEATURES
 Lightweight
 Runs on batteries - low
power consumption
 Easy to use - does not
disturb the operator
working
 ID cards for operator
authorization
 Voice transmission using
hardware PCM codec
Data Acquisition Unit
Atmel 89C52
microcontroller
Jazz
Multisensor
Bluetooth
KCET 01.04.2011
16
MICROCONTROLLER & BLUE
TOOTH MODULE
KCET 01.04.2011
17
CSU – COMPONENTS
 CONNECTION MANAGER – main task to
perform low-level blue tooth communication
 DATA ANALYSIS MODULE – performs the
analysis of the raw sensor data
 DATA LOGGER MODULE – provides
support
for storing the monitored data.
 VISULAIZATION MODULE – provides user
interface for the supervisors
KCET 01.04.2011
18
CSU FEATURES
Central System Unit
Connection
Manager
Data Analysis
Visualization
ModuleBluetooth
Connection
Manager
Data
Logger
Connection management
 Data processing
 Data recording
Access verification
System maintenance
KCET 01.04.2011
19
MULTISENSORS
KCET 01.04.2011
20
FUTURE IMPROVEMENTS
 DAU
small CMOS camera to monitor the
operator’s point of gaze single PCB (SMD
technology) low voltage ICs
 CSU
data mining algorithms advanced data-
base encryption using
KCET 01.04.2011
21
EXPERIMENT
 Measurement of heart rate, temperature,
galvanic skin response (GSR), general
somatic activity
 Six basic emotions are anger, fear, sadness,
disgust, joy and surprise
KCET 01.04.2011
22
DATA SECURITY
 Only registered mobile devices can connect
to the system
 Bluetooth connection authentication
 Bluetooth connection encryption
 Access rights restrictions
 Personal and physiological data encryption
KCET 01.04.2011
23
APPLICATIONS
 In retailing record and interpret customer
movements
 In automobile industry
 In video games
 To create “Face Responsive Display” and
“Perceptive Environment” Generic control
rooms
 Power station
 Flight control centres
o Operating theatres
KCET 01.04.2011
24
BLUE EYES ENABLED DEVICES
POD
Technology used in
cars
 PONG
A Robot
KCET 01.04.2011
25
CONCLUSION
 Provide more delicate and user friendly facilities
in computing devices
 Gap between the electronic and physical world is
reduced
 The computers can be run using implicit
commands instead of the explicit commands
KCET 01.04.2011
26
REFERENCES
 n www.seminar4u.com
 n www.howstuffswork.com
 n www.cs.put.poznan.com
 n www.whitepapers.com
 n www.ibmresearchcenter.com
 n www.almaden.ibm.com
KCET 01.04.2011
27
Thank u…
ANY
QUESTIONS ???
KCET 01.04.2011
28

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Blueeyetechnology 110925103959-phpapp02

  • 1. BLUE EYES TECHNOLOGY Human operator monitoring system presented by KCET 01.04.2011 1 DIVYA MOHAN S.NAGA PRIYA
  • 2. WHAT IS BLUE EYES TECHNOLOGY?  Aims at creating computational machines that have perceptual and sensory ability.  Use camera and microphone to identify user actions and emotions ? KCET 01.04.2011 2
  • 3. THE TERM BLUE EYES  BLUE in the term stands for Bluetooth, which enables reliable wireless communication  EYES , because the eye movement enables us to obtain a lot of interesting and important information. KCET 01.04.2011 3
  • 4. NEED OF BLUE EYES TECHNOLOGY  To built a machine that can understand your emotions  A pc that can listen, talk or scream  Verify your identity, feels your presence and interact with you. KCET 01.04.2011 4
  • 5. TECHNOLGIES USED  Emotion Mouse  Manual And Gaze Input Cascaded (MAGIC)  Artificial Intelligent Speech Recognition  Simple User Interest Tracker (SUITOR)  The eye movement Sensor KCET 01.04.2011 5
  • 6. EMOTION MOUSE  Simplest way  People spend approximately 1/3 of their total computer time touching input device  Physiological data is obtained and emotional state is determined  A user model will be built that reflects the personality of user. KCET 01.04.2011 6
  • 8. IBM RESEARCH BLUE EYE – EMOTIONAL MOUSE sensors in the mouse ,sense the physiological attributes which are correlated to emotions using corr- -elation model -by simply touching the mouse ,the computer will be able to determine a person’s emotional state. BLUE EYE enabled TELEVISION – could become active when the user makes an eye contact. KCET 01.04.2011 8
  • 9. MAGIC POINTING  Reduce the cursor movement needed for target selection  Click on the target with a regular manual input device  Two magic pointing techniques  Liberal  Conservative KCET 01.04.2011 9
  • 10. APPROACHES  LIBERAL APPROACH To warp the cursor to every new object user looks at  CONSERVATIVE APPROACH Does not warp the cursor target until the manual input device has been actuated KCET 01.04.2011 10
  • 11. ARTIFICIAL INTELLIGIENT SPEECH RECOGNITION  Input words are scanned and matched against internally stored words  Identification causes some action to be taken User speaks to the computer through microphone  Filtered and fed to ADC and then stored in RAM  pattern matching is designed to look for the best fit because of variations in loudness, pitch, frequency difference, time gap etc. KCET 01.04.2011 11
  • 12. APPLICATION OF ARTIFICIAL INTELLIGIENT SPEECH RECOGNITION  To control weapons by voice commands  Pilot give commands to computers by speaking into microphones  Can be connected to word processors and instead of writing, simply dictate to them KCET 01.04.2011 12
  • 13. SUITOR  Help by fetching more information at desktop  Notice where the user’s eyes focus on the screen  Fills a scrolling ticker on a computer screen with information related to user’s task  Ex. If reading headline ,pops up the story in the browser window KCET 01.04.2011 13
  • 14. THE EYE MOVEMENT SENSOR DESIGNING  A personal area network for linking all the operators and the supervising system Two major units - DAU (data acquisition unit ) - CSU (central system unit ) KCET 01.04.2011 14
  • 15. DAU  The DAU consists of the following components  ATMEL 8952 microcontroller  BLUE TOOTH MODULE – supports synchronous voice  data transmission  central system sound feedback  microcontroller (115200 bps)  ALPHAUNUMERIC LCD display  LED indicators  ID CARD interface KCET 01.04.2011 15
  • 16. DAU - FEATURES  Lightweight  Runs on batteries - low power consumption  Easy to use - does not disturb the operator working  ID cards for operator authorization  Voice transmission using hardware PCM codec Data Acquisition Unit Atmel 89C52 microcontroller Jazz Multisensor Bluetooth KCET 01.04.2011 16
  • 17. MICROCONTROLLER & BLUE TOOTH MODULE KCET 01.04.2011 17
  • 18. CSU – COMPONENTS  CONNECTION MANAGER – main task to perform low-level blue tooth communication  DATA ANALYSIS MODULE – performs the analysis of the raw sensor data  DATA LOGGER MODULE – provides support for storing the monitored data.  VISULAIZATION MODULE – provides user interface for the supervisors KCET 01.04.2011 18
  • 19. CSU FEATURES Central System Unit Connection Manager Data Analysis Visualization ModuleBluetooth Connection Manager Data Logger Connection management  Data processing  Data recording Access verification System maintenance KCET 01.04.2011 19
  • 21. FUTURE IMPROVEMENTS  DAU small CMOS camera to monitor the operator’s point of gaze single PCB (SMD technology) low voltage ICs  CSU data mining algorithms advanced data- base encryption using KCET 01.04.2011 21
  • 22. EXPERIMENT  Measurement of heart rate, temperature, galvanic skin response (GSR), general somatic activity  Six basic emotions are anger, fear, sadness, disgust, joy and surprise KCET 01.04.2011 22
  • 23. DATA SECURITY  Only registered mobile devices can connect to the system  Bluetooth connection authentication  Bluetooth connection encryption  Access rights restrictions  Personal and physiological data encryption KCET 01.04.2011 23
  • 24. APPLICATIONS  In retailing record and interpret customer movements  In automobile industry  In video games  To create “Face Responsive Display” and “Perceptive Environment” Generic control rooms  Power station  Flight control centres o Operating theatres KCET 01.04.2011 24
  • 25. BLUE EYES ENABLED DEVICES POD Technology used in cars  PONG A Robot KCET 01.04.2011 25
  • 26. CONCLUSION  Provide more delicate and user friendly facilities in computing devices  Gap between the electronic and physical world is reduced  The computers can be run using implicit commands instead of the explicit commands KCET 01.04.2011 26
  • 27. REFERENCES  n www.seminar4u.com  n www.howstuffswork.com  n www.cs.put.poznan.com  n www.whitepapers.com  n www.ibmresearchcenter.com  n www.almaden.ibm.com KCET 01.04.2011 27