Neurobotix Ltd Winter Deliverable Two

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Neurobotix Ltd Winter Deliverable Two

  1. 1. Nicholas HelmstetterBishestha AdhikariMorgan AuzenneArthur Assamoi
  2. 2.  Completed First Immersion Scheduled Hatch/Smart Board Installation and Training Sessions Continued Correspondence with SMI for Eye Tracking/EEG Software Assessed Thermal Camera Technology Created and Evaluated a Prototype of Hall Effect Sensor Technology Created and Evaluated a Prototype of Low Powered Laser Tracking Technology
  3. 3.  Conducted at the Early Childhood Education Center (ECEC) associated with Louisiana Tech University Observed children using the Hatch education software on a Polyvision board Specifically observed how students and teachers interacted with the software and board
  4. 4.  Installation and training sessions scheduled for February 27-28, 2013 Board will be installed on a stand provided by a third party company in the Biomedical Engineering Building at Louisiana Tech University
  5. 5.  Continued correspondence to determine the usability of our Emotiv Epoc Headset with the SMI eye tracking software and hardware
  6. 6.  Conducted cursory investigation into the usability of thermal cameras to track engagement Determined to be ineffective  Slow response time  Slow rate of change between thermal signatures of target
  7. 7.  Switch hall effect Indicating LED sensor Changes with orientation of magnet Controls LED indicating light Switch Hall Effect Sensor
  8. 8. Activated Circuit Deactivated Circuit Indicating LED Indicating LED Switch Hall Switch HallControlling Effect Sensor Controlling Effect SensorMagnet Magnet
  9. 9. Video of Hall Effect Sensor Test
  10. 10.  Prototype demonstrates the feasibility of hall effect sensors for incorporation into the device Improvements to be made may include :  Linear Hall Effect Sensors  Grid Network Design  Stronger Magnets
  11. 11.  Tracks user’s head movement Uses two lasers, an 8- megapixelcamera, and programming in Matlab Isolates laser points on image Bishestha approximating the head Determines where the orientation of the two lasers during testing user is looking
  12. 12.  Test image taken with two laser points includedLaser Points
  13. 13.  Image converted to grey scale in Matlab  Image is defined in terms of white intensity  Laser points remain most intense areasLaser Points
  14. 14.  Laser points isolated on image  Pixels under threshold reduced to black  Pixels over threshold remainLaser Points
  15. 15.  Determined the coordinates of remaining points  Center point coordinates found by averaging these values  Created a single center point and reduced laser points to blackCenter Point
  16. 16.  Added center point to original image  Removed original laser pointsCenter Point
  17. 17.  Next step is introduction of infrared lasers to limit device distraction towards users Tests prove technological feasibility for inclusion into overall design
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