Facial Recognition
Facial Recognition - Related Videos
11:55
Physiological Correlates of Emotion Recognition
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California The autonomic nervous system (ANS) controls the activity of the body's internal organs and regulates changes in their activity depending on the current environment. The vagus nerve, which innervates many of the internal organs, is an important part of the system. When our brain senses danger, vagal tone is inhibited, leading to a set of changes in the body designed to make us more prepared to fight or...
03:37
Performing Crush Axotomy on the Facial Nerve in a Mouse Model
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2025
Source: Olmstead, D. N., et al., Facial Nerve Axotomy in Mice: A Model to Study Motoneuron Response to Injury. J. Vis. Exp. (2015).This video demonstrates the facial nerve crush procedure in a mouse, where blunt dissection through key landmarks exposes the facial nerve trunk at the stylomastoid foramen. Forceps are then used to compress the nerve trunk, inducing axonal damage and disrupting neuronal signal transmission.
08:36
Separation of Mouse Embryonic Facial Ectoderm and Mesenchyme
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Cited by 23 •
2013
A protocol for separation of embryo facial ectoderm and mesenchyme is described. We use Dispase II to treat whole embryos first, dissect whole facial prominences out, and then separate the facial ectoderm and mesenchyme.
03:34
Inducing a Facial Nerve Injury in a Rat Model
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2025
This video demonstrates a surgical protocol on a rat model, detailing steps from anesthesia preparation to facial nerve injury induction. This protocol is useful for studying nerve regeneration and surgical techniques in medical research.
04:39
Wireless Surface Electromyography Recording of Facial Muscle Activity During Expressions
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2025
Source:Hila Man1, Paul F. Funk2, Ieva Vebraite-Adereth3, Christoph Anders4, Orlando Guntinas-Lichius2, Yael Hanein1,3,51Sagol School of Neuroscience, Tel Aviv University, 2Department of Otorhinolaryngology, Jena University Hospital, Friedrich-Schiller-University Jena, 3School of Electrical Engineering, Tel Aviv University, 4Division Motor Research, Pathophysiology and Biomechanics, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich-Schiller-University...
FAQs
Recognition depends on more than noticing isolated eyes, noses, or mouths. The visual system encodes distinctive facial features together with their spatial relationships, creating information that can be compared with representations stored in memory. This relational coding helps explain why changes in a feature’s position or in the overall arrangement of a face can influence identification accuracy.
These conditions change the visual information available for comparison with stored facial representations. Attention can influence which information is encoded, while familiarity may affect how readily a representation is accessed. Emotional expression, lighting, and viewing angle can alter the appearance of facial features, making identity judgments more or less accurate in psychological experiments.
Prosopagnosia demonstrates that impaired face identification can occur even when relatively preserved vision remains. This distinction suggests that recognizing a person’s face depends on specialized cognitive processes beyond basic visual perception. Studying the condition helps psychologists separate general visual functioning from the memory and identity-related operations required to identify familiar or unfamiliar faces.
Researchers can compare recognition performance while considering factors such as lighting, viewing angle, attention, familiarity, and emotional expression. These variables provide a framework for examining when stored facial representations match incoming visual information effectively. The resulting findings help clarify which conditions improve or reduce accuracy and support more careful interpretation of identity judgments.
Facial recognition provides a way to investigate how people make identity judgments across psychological contexts. In eyewitness research, it helps address the conditions under which observers identify people accurately. Developmental studies can use the same topic to examine changes in recognition and social cognition over time, connecting perceptual performance with broader person-perception processes.
Psychological research identifies variables that can influence recognition accuracy, including lighting, viewing angle, familiarity, attention, and emotion. These findings provide relevant considerations when automated recognition systems are designed and evaluated. Comparing system performance across such conditions can help determine whether an automated tool remains reliable when facial appearance differs from the stored information.