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Related Concept Videos

Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Prosopagnosia01:24

Prosopagnosia

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Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey.

Min Wang1, Xuefei Yin1, Yanming Zhu2

  • 1School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

Cognitive biometrics, using brain signals for identification, is rapidly advancing. This review covers key developments, methods, and future directions in this exciting field of biometric technology.

Keywords:
biological signalbiometricsclassificationdeep learningfeature extractionpattern recognitionrepresentation learning

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Area of Science:

  • Biometrics and Human-Computer Interaction
  • Neuroscience and Signal Processing

Background:

  • Cognitive biometrics is an emerging field leveraging human cognitive signals for identification and state recognition.
  • Existing reviews often focus narrowly on specific modalities like EEG or ECG, necessitating a broader overview.

Purpose of the Study:

  • To provide a comprehensive review of cognitive biometrics, encompassing major biosignal modalities and applications.
  • To establish a taxonomy for structuring knowledge from signal acquisition to pattern recognition.
  • To offer a unified perspective on methodological advancements and future research directions.

Main Methods:

  • A systematic review of cognitive biometric literature.
  • Development of a taxonomy to categorize signal acquisition, pre-processing, representation learning, and pattern recognition.
  • Analysis of methodological advances across diverse biosignals and applications.

Main Results:

  • Identification of key biosignal modalities and their applications in cognitive biometrics.
  • A structured overview of the cognitive biometric pipeline from data acquisition to recognition.
  • Synthesis of current research trends and challenges.

Conclusions:

  • Cognitive biometrics offers significant potential for secure and reliable identification and state monitoring.
  • A comprehensive, structured approach is crucial for advancing interdisciplinary research in this domain.
  • Future work should focus on developing robust and secure cognitive biometric systems.