Researchers at Spain's Universidad Carlos III de Madrid (UC3M) and Iran's Shahid Rajaee Teacher Training University are developing an algorithm that can identify people by heartbeat.
UC3M's Carmen Cámara said the researchers analyzed an electrocardiogram (ECG) recording as if it were a soundwave, using the musical qualities of dynamics, rhythm, timbre, pitch, and tonality.
This yields a mix of parameters unique for each individual, and an accuracy rate of 96.6%.
The method offers a universal biometric measure, said UC3M's Pedro Peris-López, adding, "Nowadays, there are already smart bracelets and watches that perform ECG recordings, so it would be sufficient to install an application on them which uses our identification algorithm."
From Universidad Carlos III de Madrid (Spain)
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