Attention Tracking Tool February 22, 2012
Feb 24, 2016
Attention Tracking Tool
February 22, 2012
Review of What We are Doing• Develop an application that can track and detect
attention of students in a classroom• Generate useful metrics that can be used to
evaluate a lecture.
Milestone Four Task Matrix
TASK COMPLETION
DARYLE ABDULLAH
FINISH REPORT GENERATION 100% Write 0% Write 100%IMPLEMENT/TEST ATTENTION DETECTION
25% Write 25% Write 0%
CONTINUE EXPERIMENTING WITH FACE RECOGNITION ALGORITHMS
50% 50% 0%
POSTER FOR SENIOR DESIGN SHOWCASE
0% Write 0% Write 0%
Head Movement Tracker• Find features on the face that can be easily found in
subsequent frames.• Keep track of these points.• Use centroid of face as reference point.• Use position of features relative to reference point
to determine if person is looking left, right, up, or down.
Lessons Learned• Computer Vision is a very challenging field– Knowledge of Linear Algebra and Calculus is a must!!
• Tracking– Background subtraction (Codebooks, MOG)
• Face Recognition– Assume 1 face and high resolution image– Lots of approaches– Not always accurate but good datasets produce pretty
good results
Lessons Learned (Cont)
Demo
Questions