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Perception01:28

Perception

507
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
507
Subliminal Perception01:15

Subliminal Perception

298
Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
298
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

239
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
239
Sensation01:21

Sensation

658
Sensory receptors are specialized neurons that respond to specific types of external stimuli, initiating the process known as sensation. This occurs when sensory input, such as light entering the eye, is detected by these receptors, causing chemical changes in the cells of the retina. These cells then convert the sensory stimulus into action potentials that are transmitted to the central nervous system, a process termed transduction.
Absolute thresholds can quantify the sensitivity of sensory...
658
Perceptual Constancy01:12

Perceptual Constancy

440
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
440
Auditory Perception01:17

Auditory Perception

364
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
364

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Related Experiment Video

Updated: Jul 18, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

614

PLATE: A perception-latency aware estimator.

Rodrigo Aldana-López1, Rosario Aragüés1, Carlos Sagüés1

  • 1Departamento de Informatica e Ingenieria de Sistemas (DIIS) and Instituto de Investigacion en Ingenieria de Aragon (I3A), Universidad de Zaragoza, Zaragoza 50018, Spain.

ISA Transactions
|August 25, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces the Perception-LATency aware Estimator (PLATE) for target tracking. PLATE optimizes performance by balancing perception latency and detection accuracy, improving resource usage in dynamic environments.

Keywords:
Perception-latencyState estimationTarget-tracking

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Area of Science:

  • Computer Vision
  • Robotics
  • Machine Learning

Background:

  • Target tracking is crucial for numerous applications, with accuracy often increasing with computational effort (perception-latency).
  • High perception-latency is not always optimal, especially when computational resources are shared or the environment demands lower latency.

Purpose of the Study:

  • To develop a novel Perception-LATency aware Estimator (PLATE) for optimizing target tracking performance.
  • To achieve a balance between perception-latency, detection accuracy, and computational resource utilization.

Main Methods:

  • The proposed PLATE system dynamically adjusts perception configurations over time.
  • It optimizes a performance measure considering both latency and accuracy trade-offs.
  • Formal complexity and optimality analyses are provided, distinguishing it from heuristic frame-skipping methods.

Main Results:

  • Experiments demonstrate PLATE's effectiveness in optimizing perception-latency and accuracy.
  • Evaluations were conducted on a standard benchmark using real-world data.
  • State-of-the-art deep learning object detection methods were utilized in the perception stage.

Conclusions:

  • PLATE offers an effective approach to manage the trade-off between perception-latency and accuracy in target tracking.
  • The method provides a principled way to optimize resource usage in dynamic computational environments.
  • Experimental validation confirms the advantages of PLATE over existing techniques.