Footsteps, Pressure Sensors, and AI: The Next Step in Airport Security
May 31st, 2018
Via: EETimes:
The University of Manchester’s school of electrical and electronic engineering, in collaboration with the University of Madrid, has developed a behavioral biometric verification system that can measure a human’s individual gait or walking pattern, enabling successful identification of a person simply as they walk on a pressure pad in the floor and analyzing the footstep’s 3D and time-based data.
With this system, the researchers claim that the way a person walks and analysis of that individual’s footsteps could be used as a biometric at airport security instead of fingerprinting and eye-scanning, providing a non-intrusive method of identity verification.
The results, published in a machine-learning research journal, the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), earlier this year showed that, on average, the AI system developed correctly identified an individual almost 100% of the time, with just a 0.7% error rate.
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