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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of...
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Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience

Waseem Abbas1, David Masip Rodo2

  • 1Multimedia and Telecommunications Department, Universitat Oberta de Catalunya, 08018 Barcelona, Spain. abbas@uoc.edu.

Sensors (Basel, Switzerland)
|July 28, 2019
PubMed
Summary

Automated annotation of neuroscience data using computer vision and machine learning is revolutionizing animal behavior analysis. This approach enhances efficiency and reproducibility compared to manual methods for rodent locomotion and gesture tracking.

Keywords:
automated annotationbehavioral phenotypinggesture trackinglocomotion trackingmachine learningneuroscience

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Animal Behavior Analysis

Background:

  • Traditional neuroscience research relies on manual observation and annotation of animal behavior.
  • Manual annotation is time-consuming, error-prone, and lacks reproducibility.
  • Automated annotation methods are emerging as a more efficient and reliable alternative.

Purpose of the Study:

  • To review and categorize existing automated approaches for rodent locomotion and gesture tracking.
  • To summarize the strengths and weaknesses of various hardware and software methodologies.
  • To provide an overview of advancements in automated neuroscience data annotation.

Main Methods:

  • Literature review and categorization of automated annotation techniques.
  • Analysis of approaches based on hardware used (e.g., cameras, sensors).
  • Evaluation of software methodologies including computer vision and machine learning algorithms.

Main Results:

  • Identified diverse hardware and software strategies for automated animal behavior tracking.
  • Summarized the advantages and limitations of different automated annotation systems.
  • Highlighted the growing trend towards machine learning in neuroscience data analysis.

Conclusions:

  • Automated annotation significantly improves the efficiency and reproducibility of neuroscience research.
  • Computer vision and machine learning are key technologies driving advancements in animal behavior analysis.
  • Further development in automated annotation will accelerate discoveries in neuroscience.