Blue eye
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Blue eye

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By Tapesh

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Blue eye Blue eye Presentation Transcript

  • BLUE EYES TECHNOLOGY Human operator monitoring system presented by 1 Tapesh V Chalisgaonkar
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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. 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 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 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. 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 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 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 ) 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 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 01.04.2011 16
  • MICROCONTROLLER & BLUE TOOTH MODULE 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 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 01.04.2011 19
  • MULTISENSORS 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 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 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 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 01.04.2011 24
  • BLUE EYES ENABLED DEVICES POD Technology used in cars  PONG A Robot 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 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 01.04.2011 27
  • Thank u… ANY QUESTIONS ??? 01.04.2011 28