Biometric identification via an oculomotor plant mathematical model

  title={Biometric identification via an oculomotor plant mathematical model},
  author={Oleg V. Komogortsev and Sampath Jayarathna and Cecilia R. Aragon and Mahmoud Mechehoul},
There has been increased interest in reliable, non-intrusive methods of biometric identification due to the growing emphasis on security and increasing prevalence of identity theft. This paper presents a new biometric approach that involves an estimation of the unique oculomotor plant (OP) or eye globe muscle parameters from an eye movement trace. These parameters model individual properties of the human eye, including neuronal control signal, series elasticity, length tension, force velocity… CONTINUE READING
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