Scientists from the Department of Systems Engineering, University of Lagos, Akoka, Lagos, Nigeria, have discovered that humans can
The researchers then identified variousthe sound frequencies in a person's laughter that can be used to create a digital signature are akin to the little things (hashes) generated by fingerprint scanners.
Approach tests show that their algorithmprototype recognition has an accuracy of 90%, which compares very favorably with the accuracy of 65% of the conventional Gaussian noise model. However, combining the developer's algorithm with a Gaussian approach can improve overall accuracy by more than 5 percent.
So laughter is viablebiometric function for identification of a person, which can be embedded in artificial intelligence systems in various applications, the team of scientists concludes.
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