neurobotix ltd winter deliverable two
TRANSCRIPT
Nicholas Helmstetter Bishestha Adhikari Morgan Auzenne Arthur Assamoi
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
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
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
Continued correspondence to determine the usability of our Emotiv Epoc Headset with the SMI eye tracking software and hardware
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
Switch hall effect sensor
Changes with orientation of magnet
Controls LED indicating light
Indicating LED
Switch Hall Effect Sensor
Activated Circuit Deactivated Circuit
Indicating LED
Switch Hall Effect Sensor
Indicating LED
Switch Hall Effect Sensor Controlling
Magnet Controlling Magnet
Video of Hall Effect Sensor Test
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
Tracks user’s head movement
Uses two lasers, an 8-megapixelcamera, and programming in Matlab
Isolates laser points on image
Determines where the user is looking
Bishestha approximating the head orientation of the two lasers during testing
Test image taken with two laser points included
Laser Points
Image converted to
grey scale in Matlab
Image is defined in terms of white intensity
Laser points remain most intense areas
Laser Points
Laser points isolated on image
Pixels under threshold reduced to black
Pixels over threshold remain
Laser Points
Determined the
coordinates of remaining points
Center point coordinates found by averaging these values
Created a single center point and reduced laser points to black
Center Point
Added center point to
original image
Removed original laser points
Center Point
Next step is introduction of infrared lasers to
limit device distraction towards users
Tests prove technological feasibility for inclusion into overall design