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