Deliverables Common to Keystroke Projects
(and Possibly Other Biometric Projects)

  1. Learn how to run the Eclipse IDE. Run the classifier portion of the system to duplicate previously obtained (baseline "LapFree") experimental results: Train=180-3825, Test=180-3825, FRR=10.00% (18/180), FAR=3.29% (126/3825), Performance=96.40% (3861/4005). The output will be an HTLM file using 1-nearest-neighbor. You will be provided with (pre-split) training and test feature files for input to the BAS program.

    Detailed instructions from your subject matter expert, Dr. Robert Zack:

  2. Detailed instructions from Robert Zack:
  3. Detailed instructions from Robert Zack: