Method to assess the temporal persistence of potential biometric features: Application to oculomotor, gait, face and brain structure databases

• Published in: PloS one Vol. 12; no. 6; p. e0178501
• Main Authors: Friedman, Lee, Nixon, Mark S., Komogortsev, Oleg V.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 02.06.2017; Public Library of Science (PLoS)
• Subjects: Aging; Analysis; Biology and Life Sciences; Biometrics; Biometry; Brain; Brain research; Communities; Computer science; Control; Correlation; Correlation coefficient; Data bases; Data processing; Database Management Systems; Datasets; Eye; Eye movements; Face; Face recognition; Feature recognition; Gait; Humans; International conferences; Mathematical analysis; Medicine and Health Sciences; Methods; Normal distribution; Pattern recognition; Permissible error; Physical Sciences; Physiological aspects; Research and Analysis Methods; Scale (ratio); Similarity; Social Sciences; Stability; Statistical analysis; Temperature; Weightlifting; United States; United States > US; Texas

We introduce the intraclass correlation coefficient (ICC) to the biometric community as an index of the temporal persistence, or stability, of a single biometric feature. It requires, as input, a feature on an interval or ratio scale, and which is reasonably normally distributed, and it can only be...