Video Camera Recording
Video Camera Recording - Related Videos
08:32
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
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Cited by 9 •
2020
This protocol describes how to build a small and versatile video camera, and how to use videos obtained from it to train a neural network to track the position of an animal inside operant conditioning chambers. This is a valuable complement to standard analyses of data logs obtained from operant conditioning tests.
06:13
Assessing a Functional Neuromuscular Junction Via Simultaneous Optical Stimulation and Video Recording
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2025
This video demonstrates a method to assess functional neuromuscular junctions. Using a bioreactor containing muscle tissue and motor neurons, along with fluorescent microscopy, the light-sensitive channels in the neurons are stimulated to generate electrical signals, causing muscle fiber contractions.
07:28
Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
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2025
Kinematic metrics of the drinking task have been recommended for use in upper limb stroke rehabilitation, but conventional approaches to kinematic studies are considered impractical. The current protocol describes a web-based guide to capture videos of the drinking task, which are compatible with computer vision to extract recommended kinematic metrics.
09:43
Video-oculography in Mice
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Cited by 24 •
2012
Video-oculography is a very quantitative method to investigate ocular motor performance as well as motor learning. Here, we describe how to measure video-oculography in mice. Applying this technique on normal, pharmacologically-treated or genetically modified mice is a powerful research tool to explore the underlying physiology of motor behaviors.
10:41
Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
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Cited by 10 •
2018
We present detection, acquisition, and analysis of eyeblink rates while watching media content.
FAQs
Light from the observed scene passes through the lens and reaches an electronic image sensor. The sensor converts the scene into digital frames, which are stored in sequence as footage. This frame-based record allows researchers to return to the same behavioral episode, inspect actions and interactions closely, and analyze details that may be missed during a single live observation.
Consistent camera positioning and recording settings help researchers compare observations across sessions or conditions. A stable view makes actions, movement, social interactions, and responses easier to examine using the same visual context. When these factors vary substantially, differences in the footage may reflect changes in how behavior was captured rather than changes in the behavior itself.
Stored footage provides a durable record that can be reviewed repeatedly rather than interpreted only during the original observation. Researchers can revisit specific events, apply coding procedures, and compare observations across viewing sessions. This repeated access supports more objective and reproducible analysis by allowing behavioral judgments to be checked against the same recorded evidence.
Digital frames preserve the sequence and timing of visible events within a recording. Reviewing those frames helps researchers follow movement, actions, interactions, and responses as they unfold, instead of relying only on memory. The resulting temporal record supports closer examination of behavioral patterns and makes it possible to inspect episodes more than once.
A basic workflow begins by positioning the camera so the relevant behavior is visible, followed by selecting recording settings that can be applied consistently. Researchers then record the behavior or response under the planned conditions, store the footage, and review it afterward. They can code observed events and compare patterns across recordings or experimental conditions.
It is particularly useful when researchers need to examine actions, movement, social interactions, or responses to controlled conditions after the observation has ended. Footage can reveal patterns that are difficult to identify in real time and allows repeated review of complex episodes. In behavior studies, this supports detailed documentation and comparison across observations.