Based on user fingers, this algorithm knows whether children or adults are using smartphones

There are many applications that lock the device but we still have to turn it on manually, and the cunning kids can turn them off.

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Soon, the smart device's touch screen will know if the 5-year-old of the device owner is sitting on the device. Based on that, the machine can automatically lock applications "prohibit underage children" without adult intervention.

It is a project that researchers at the University of South Carolina, the US and Zhejiang University, China are cherishing. They create an algorithm that detects who is using the device, thereby avoiding the situation of children playing with things that should not be played.

There are currently many tracking applications running on the device, to control what children are exposed to on the Internet. The downside of these applications is that users have to manually turn it on or more worrisome, cunning kids who know more or less about technology will be able to turn this function off. Therefore, the determination of automatic age will help users lock the device, lock the application more effectively.

This, after all, is good for children. They are not wise enough to cope with Internet pitfalls and things that are not age appropriate. Besides, lock the application to avoid the case of children ordering miscellaneous on different pages or logging into e-mail, Facebook works for adults.

The technology is expected to be released this week at the HotMobile Mobile Technology Conference 2018, held in Arizona, USA on March 12 and 13. The two main sponsors will be Intel and Samsung.

This is how the recognition algorithm works:

Researchers track and find differences between screen swipes of children and adults. Because the hands are smaller with shorter fingers, they will touch fewer screen areas and have shorter strokes. Most cases of using mobile devices, children manipulate quite clumsy and switch between swipe - not fast.

To get these data, the team created a simple application, for two user groups, children from 3 to 11 years and adults from 22 to 60 years old. The application requires users to unlock an Android phone, then play a game related to the number on it. Information saved through this application includes strokes, strokes, pressure on the screen.

With that information, they train an algorithm to detect age with an accuracy of up to 84%, with a single swipe of the user. After eight strokes, the accuracy of the algorithm is up to 97%.

To be able to get more accurate results, the researchers want to add the motion tracking element to the user too (information that can be obtained by the accelerometer is available in the smartphone device). They did so because the results showed that the children holding phones were more shaky than adults.

Currently, the above algorithm has not been applied to any product line but with high accuracy, good efficiency and high practicality for any user, this is probably a promising management method.