Recently, researchers in the United Kingdom and Spain have recently developed an artificial intelligence system to identify gait and identify identities. Tests have shown accuracy of 99.3%. It is understood that researchers from the University of Manchester in the United Kingdom and the Autonomous University of Madrid in Spain used the ground sensors and high-resolution cameras to collect nearly 20,000 foot signals from 127 people, set up databases, and developed computer models for the use of biometrics to identify people.
Identifying non-invasive gait is very challenging. Data map
To compile samples and collect data, the team used ground sensors and high-resolution cameras. By monitoring the pressure exerted by different people on the ground sensors, the non-invasive gait recognition method is very challenging. Because you want to distinguish the subtle differences between people, it is actually difficult to manually define. This is why researchers must come up with a new artificial intelligence system to solve this challenge from a new perspective.
Gait modes include vision, pressure, and acceleration sensors. Picture from University of Manchester, UK
According to the researchers, there are about 24 different factors and movements when each person walks, forming a unique walking pattern for each person. Monitoring these actions can thus identify a person's identity, like a fingerprint or a retina scan.
Related data diagram, data diagram
The main advantage of using this gait recognition technology is that compared to the traditional shooting or scanning, this process does not interfere with the whole process of the test subject and can also adapt to different environments. When the target is walking on a footpad that can monitor pressure, it is not even necessary to take off the shoe, because this technique is mainly to detect gait and not just the data of the foot.
Airport security, data map
Actual test results at airport security inspections, workplaces and home environments all show that the accuracy of this system for identifying identities is extremely high. The researchers said that this technology can also have more use scenarios in the future, such as identifying neurodegenerative diseases, helping doctors find cognitive decline or mental illness patients, can have a more positive impact on the health care industry, and this is research The new areas in which people are expected to set foot in the future.
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