We investigate facial asymmetry as a biometric under expression variation. For the first time, we have defined two types of quantified facial asymmetry measures that are easily computable from facial images and videos. Our findings show that the asymmetry measures of automatically selected facial regions capture individual differences that are relatively stable to facial expression variations. ...

A Prediction-error-method tailored for model based predictive control is presented. The prediction-error method studied are based on predictions using the Kalman filter and Kalman predictors for a linear discrete-time stochastic state space model. The linear discrete-time stochastic state space model is realized from a continuous-discrete-time linear stochastic system specified using transfer f...

Biometrics make human identification possible with a sample of a bio-metric trait and an associated database. Classical identification tech-niques lead to privacy concerns. This paper introduces a new method toidentify someone using his biometrics in an encrypted way.Our construction combines Bloom Filters with Storage and Locality-Sensitive Hashing. We apply this error-...

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In this paper, the underlying theory of Task Analysis for Error Identification is presented. The aim is to illustrate the development of a method that has been proposed for the evaluation of prototypical designs from the perspective of predicting human error. The paper presents the method applied to representative examples. The methodology is considered in terms of the various validation studie...