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Related Concept Videos

Visual System01:26

Visual System

2.3K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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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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What is a Sensory System?01:31

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Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
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Design and Analysis for Fall Detection System Simplification
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A survey on sensor coverage and visual data capturing/processing/transmission in wireless visual sensor networks.

Florence G H Yap1, Hong-Hsu Yen2

  • 1English Division, Center for General Education, Chang Gung University, Taoyuan, 333, Taiwan. ghyap@mail.cgu.edu.tw.

Sensors (Basel, Switzerland)
|February 25, 2014
PubMed
Summary
This summary is machine-generated.

Wireless Visual Sensor Networks (WVSNs) offer advanced applications beyond traditional sensor networks. This survey highlights current research in WVSN hardware, deployment, and data handling, identifying key challenges for future development.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Networking

Background:

  • Wireless Visual Sensor Networks (WVSNs) integrate camera-equipped nodes for visual data transmission, enabling applications like surveillance and monitoring.
  • Unlike traditional Wireless Sensor Networks (WSNs) transmitting scalar data, WVSNs handle large, complex visual information, requiring efficient resource management.
  • WVSNs present multi-disciplinary research opportunities spanning hardware, image processing, and wireless communication.

Purpose of the Study:

  • To survey existing research on Wireless Visual Sensor Networks (WVSNs).
  • To identify challenges and open issues in WVSN hardware, deployment, and data processing/transmission.

Main Methods:

  • Literature review of current research efforts in WVSNs.
  • Analysis of challenges related to visual sensor hardware, coverage, deployment, and data handling.

Main Results:

  • WVSN research is in its early stages with numerous unresolved issues.
  • Existing studies cover visual sensor hardware, deployment strategies, and data management techniques.

Conclusions:

  • Significant challenges remain in resource-constrained WVSNs for efficient visual data handling.
  • Novel, multi-disciplinary, collaborative solutions are needed to advance WVSN technology.