Human Micro-Expression: A Novel Social Behavioral Biometric for Person Identification

Abstract

The reliance on Online Social Networks (OSN) for both formal and informal social interactions has dramatically changed the way people communicate. In this paper, a novel Social Behavioral Biometric (SBB), human micro-expression, is introduced for person identification. An emotion detection model is developed to extract emotion probability scores from person's writing samples posted on Twitter. The corresponding emotion-progression features are extracted using an original technique that turns users' microblogs into emotion-progression signals. Finally, a novel social behavioral biometric system that leverages rank-level weighted majority voting to achieve an accurate person identification is implemented. The proposed system is validated on a proprietary benchmark dataset consisting of 250 Twitter users. The experimental results convincingly demonstrate that the proposed social behavioral biometric, human microexpression, possesses a strong distinguishable ability and can be used for person identification. The study further reveals that the proposed social behavioral biometric outperforms all the original SBB traits.

Implementation of Biometric Identification System Utilizing Fingernail Feature Points

“…For the most adaptable and effective means of identifying or authenticating people, a biometric identification system is employed. One of the primary benefits of this kind of system is that it can be used quickly and at a lower cost of password management because the user does not need to carry an OTP card or remember the password (Wahid et al, 2023;Fan et al, 2022;Bauspieß et al, 2023;Uwaechia & Ramli, 2021).…”

An Approach for Full Reinforcement-Based Biometric Score Fusion

“…This shift is primarily driven by the significant increase in identity theft and security-related concerns. These technologies rely on unique human attributes, either anatomical (e.g., facial features, fingerprints, iris patterns) or behavioral (e.g., cognitive biometrics, gait, keystroke dynamics) traits [1]. Furthermore, biometric modalities are inherently present in individuals, making them exceptionally challenging to counterfeit or pilfer [2].…”

Human Micro-Expressions in Multimodal Social Behavioral Biometrics

“…A burgeoning area of research within the field of social behavioral biometrics is the utilization of behavioral traits for biometric identification. Recent scholarly endeavors have delved into various aspects of social behavior, such as retweet networks, Uniform Resource Locator (URL) networks, reply networks, hashtag networks, temporal networks, linguistic profile, and human micro-expression from text as potential biometric identifiers [9][10][11]. Harnessing these social behavioral biometrics offers potential avenues for bolstering cyberspace security and surveillance [12].…”

“…One of the latest social behavioral biometrics, human micro-expression, demonstrates the capacity for online biometric identification [11]. The concept of human microexpressions extends from the domain of visual facial expressions to textual analysis in the state of the art.…”

“…These can be certain patterns of language, choice of words, frequency of certain phrases, and even the speed and timing of responses [23,24]. Analyzing these textual micro-expressions not only offers insightful details about an individual's emotional state and sentiments but also reveals distinctive behavioral patterns for biometric identification [11]. However, questions remain unanswered and uninvestigated on the efficacy of human micro-expression biometric traits from individuals' written samples for comprehensive biometric identification in a multimodal system.…”