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Researchers say Gait Recognition System provides 99.3% accuracy



Researchers at the University of Manchester suggest the use of gait detection in airport screening.  Researchers Say Gait Recognition System Provides 99.3% Accuracy

As described in a recent report in the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), researchers led by Dr. Ing. Omar Costilla Reyes of the University of Manchester, a system that works through ground sensors and examines unique patterns associated with the footsteps of an individual. Researchers trained their AI system on a 20,000-step database based on 1

27 individuals and found that it could identify a specific sample of those individuals with an accuracy of approximately 99.3 percent.

The obvious advantage of the system is that it would allow for passive identification when checking airports, but such an application would involve significant obstacles. Facial recognition has already established itself as a dominant biometric modality in automated airport screening and can also be used for passive identification. moreover, it is probably easier to implement as most face recognition systems can operate over standard camera equipment (and even mobile cameras), while a ground based system requires some major renovations in an airport environment.

But there is Costilla Reyes of the University of Manchester noted that she could also use other applications for this technology to detect signs of cognitive decline and mental illness in the healthcare market. This could provide a new solution in a difficult and ambiguous area of ​​diagnosis. Doctors can not walk in their patients' shoes, but they could learn a lot from their footsteps.

Source: University of Manchester

28. May 2018 – by Alex Perala


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