Called FMCode, the framework is capable of correctly identifying users up to 96.7 percent. The researchers at the Arizona State University indicate that such a method eliminates the need to remember long passwords, FastCompany reported.
The system is also low on error rate because the gestures or finger motions in the air won't be exactly the same each time and with machine learning it can spot fraud. The possible applications of the authentication system include VR applications, or operating theater with touchless interface for doctors. (ANI)