@inproceedings{c3598edc773441b3a31f6598a9b1e3a8,
title = "A Large-Scale Study of Language Usage as a Cognitive Biometric Trait",
abstract = "In this chapter, we discuss a novel biometric trait, called cognitive biometrics. It is defined as the process of identifying an individual through extracting and matching unique signatures based on the cognitive, affective, and conative state of that individual. Currently, there is an increasing need for novel biometric systems that engage multiple modalities because of the changing notion of privacy in today's world. Also, cognitive biometrics will become essential as pervasive computing becomes more prevalent, where computing can happen anywhere and anytime. The use of cognitive traits for biometrics is relatively underexplored in the research community. We study whether the cognitive state of a person can be learned and used as a soft biometric trait and discuss our large-scale experimental setup, which yielded encouraging results.",
keywords = "Authentication, Authorship attribution, Classification, Linguistic analysis, Soft biometrics",
author = "Neeti Pokhriyal and Ifeoma Nwogu and Venu Govindaraju",
year = "2015",
doi = "10.1016/B978-0-444-63492-4.00003-4",
language = "English",
isbn = "9780444634924",
series = "Handbook of Statistics",
publisher = "Elsevier",
pages = "69--88",
editor = "Venu Govindaraju and Raghavan, \{Vijay V.\} and C.R. Rao",
booktitle = "Handbook of Statistics",
address = "Netherlands",
}