human gait biometrics as noninvasive detection within business processes
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"Human Gait Biometrics as Noninvasive Detection Within Business Processes including a Qualitative Case Study Analysis of the Transportation Security Administration" This is a power point presentation on my work for my masters thesisTRANSCRIPT
Human Gait Biometrics as Noninvasive Detection Within Business Processes
Qualitative Case Study Analysis of the Transportation Security Administration
Introduction
Introduction
• Future– Something you physically possess
• Fingerprints• Retina• Shape of your face• Ear• Voice
Invasive detection
• Problem– Currently, biometrics are invasive
• Stick your head in a box• Place your finger on a pad
– More materials leading to more repair making current biometrics costly
• Need for biometric stations• Hi capacity areas would have many stations in
need of upkeep• Gummy bear hack
Gait
Noninvasive detection
• Problem solved– Gait is noninvasive
• No pads, no boxes, just move
– No stations• Less to repair
– Only the camera is necessary
– No need to capture a face– No need for high resolution imagery
Literature Review
• “We do not know the extent to which an individual’s gait is unique.”
– Biometric Gait Recognition - J. Boyd and J. Little
• Several factors, other than the individual, that cause variations in gait– Footwear– Terrain– Fatigue– Injury
Qualitative Research
• Analysis of gait as a use of identification vs. fingerprint biometrics– ROC Curves
• receiver operating characteristic• True Positive
– Detecting correctly
• False Positive– Detecting Incorrectly
– Every biometricdetection systemhas one
Qualitative Research
• How secure is biometric data?– Biometrics are not stored like passwords
• If you have the data, then it will do you know good if you don’t know the algorithm used.
• “Biometrics solve the common problem of hacking and mass disclosure of log-in credentials, both of which are highlighted all too frequently in the news.”
» Chris Shepler - co-founder and chief financial officer of Porticus Technology
• Principle of Open Design?
Case Study
• Transportation Security Administration– Average peak waiting time in major airports
is 30 – 45 minutes– What if TSA could identify you as you walk
through the line?• No need for identification• No way to falsify identity• Walk right through metal detectors
– Focus on modifying the current process of TSA security thereby changing the business model
One last thought…
"You have zero privacy anyway. Get over it."
-Scott McNealyCEO Sun Microsystems
Time Permitting: Flash Gait Detection