Blue eye

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Blue eye

  1. 1. BLUE EYES TECHNOLOGY Human operator monitoring system presented by 1 Tapesh V Chalisgaonkar
  2. 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 ? 01.04.2011 2
  3. 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. 01.04.2011 3
  4. 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. 01.04.2011 4
  5. 5. TECHNOLGIES USED  Emotion Mouse  Manual And Gaze Input Cascaded (MAGIC)  Artificial Intelligent Speech Recognition  Simple User Interest Tracker (SUITOR)  The eye movement Sensor 01.04.2011 5
  6. 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. 01.04.2011 6
  7. 7. 01.04.2011 7
  8. 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. 01.04.2011 8
  9. 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 01.04.2011 9
  10. 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 01.04.2011 10
  11. 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. 01.04.2011 11
  12. 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 01.04.2011 12
  13. 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 01.04.2011 13
  14. 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 ) 01.04.2011 14
  15. 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 01.04.2011 15
  16. 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 01.04.2011 16
  17. 17. MICROCONTROLLER & BLUE TOOTH MODULE 01.04.2011 17
  18. 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 01.04.2011 18
  19. 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 01.04.2011 19
  20. 20. MULTISENSORS 01.04.2011 20
  21. 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 01.04.2011 21
  22. 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 01.04.2011 22
  23. 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 01.04.2011 23
  24. 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 01.04.2011 24
  25. 25. BLUE EYES ENABLED DEVICES POD Technology used in cars  PONG A Robot 01.04.2011 25
  26. 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 01.04.2011 26
  27. 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 01.04.2011 27
  28. 28. Thank u… ANY QUESTIONS ??? 01.04.2011 28

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