Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Vision01:24

Vision

60.0K
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.
60.0K
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K
Ion Channels01:19

Ion Channels

91.4K
The movement of ions like sodium, potassium, and calcium into and out of the cell is essential to maintain the electrochemical gradient in living cells. The ion channels—a class of membrane transport proteins—help maintain this ionic gradient for the smooth functioning of physiological activities such as maintaining cell size and volume, conducting nerve impulses, and gas and nutrient exchange.
Ion channels are specialized integral membrane proteins on the plasma membrane that allow...
91.4K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.0K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.0K
Channel Rhodopsins01:11

Channel Rhodopsins

3.2K
Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
Rhodopsins belong to the family of cell surface proteins called G-protein coupled receptors,...
3.2K
Non-gated Ion Channels01:24

Non-gated Ion Channels

8.2K
Ion channels are specialized proteins on the plasma membrane that allow charged ions to pass down their electrochemical gradient. Their main function is to maintain the membrane potential which is critical for cell viability. These channels are either gated or non-gated and can transport more than a thousand ions within milliseconds for the cellular event to occur.
Compared to the gated ion channels, the non-gated channels, also known as leakage or passive channels, have no gating mechanism....
8.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Oxidative stress responses and toxin accumulation in the freshwater snail Radix swinhoei (Gastropoda, Pulmonata) exposed to microcystin-LR.

Environmental science and pollution research international·2015
Same author

A Machine Learning Approach for Accurate Annotation of Noncoding RNAs.

IEEE/ACM transactions on computational biology and bioinformatics·2015
Same author

Comparative Assessment of the Cleft Profile by Patients with Cleft Lip and Palate, Cleft Surgeons, and Lay People.

Aesthetic plastic surgery·2015
Same author

Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing.

Sensors (Basel, Switzerland)·2015
Same author

Viewing Majorana Bound States by Rabi Oscillations.

Scientific reports·2015
Same author

Histone H2B Monoubiquitination Mediated by HISTONE MONOUBIQUITINATION1 and HISTONE MONOUBIQUITINATION2 Is Involved in Anther Development by Regulating Tapetum Degradation-Related Genes in Rice.

Plant physiology·2015
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 29, 2026

Subjective Refraction Test Using a Smartphone for Vision Screening
05:36

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

1.7K

A Vision-Assisted Acoustic Channel Modeling Framework for Smartphone Indoor Localization.

Can Xue1,2, Huixin Zhuge2, Zhi Wang1,2

  • 1State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a vision-assisted acoustic localization method using a fusion anchor. It improves time-of-arrival (TOA) estimation accuracy in complex indoor environments by modeling acoustic channels with visual data.

Keywords:
acoustic time of arrivalindoor localizationroom impulse responsevision-assisted channel modeling

More Related Videos

Fabrication of Nanoheight Channels Incorporating Surface Acoustic Wave Actuation via Lithium Niobate for Acoustic Nanofluidics
07:23

Fabrication of Nanoheight Channels Incorporating Surface Acoustic Wave Actuation via Lithium Niobate for Acoustic Nanofluidics

Published on: February 5, 2020

6.2K
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

899

Related Experiment Videos

Last Updated: Jan 29, 2026

Subjective Refraction Test Using a Smartphone for Vision Screening
05:36

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

1.7K
Fabrication of Nanoheight Channels Incorporating Surface Acoustic Wave Actuation via Lithium Niobate for Acoustic Nanofluidics
07:23

Fabrication of Nanoheight Channels Incorporating Surface Acoustic Wave Actuation via Lithium Niobate for Acoustic Nanofluidics

Published on: February 5, 2020

6.2K
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

899

Area of Science:

  • Robotics and Automation
  • Indoor Localization Systems
  • Acoustic Signal Processing

Background:

  • Conventional acoustic time-of-arrival (TOA) estimation struggles with multipath reflections and occlusions in indoor settings, leading to unstable and less interpretable measurements.
  • Existing methods lack the ability to explicitly perceive and model complex indoor geometric features, surface materials, and occlusion patterns, hindering localization accuracy.
  • The physical interpretability of acoustic measurements is often limited due to environmental complexities.

Purpose of the Study:

  • To develop a robust smartphone-based indoor localization method that overcomes the limitations of conventional acoustic TOA estimation.
  • To introduce a novel fusion anchor integrating a camera and ultrasonic transmitter for enhanced perception of indoor environments.
  • To improve the accuracy and robustness of time-of-arrival (TOA) measurements in complex indoor scenarios through vision-assisted acoustic channel modeling.

Main Methods:

  • A fusion anchor with a pan-tilt-zoom (PTZ) camera and near-ultrasonic transmitter was developed to perceive indoor geometry, materials, and occlusions.
  • Vision-derived priors (line-of-sight reachability, orientation consistency, directional risk) were used as soft anchor weights to mitigate occlusion and pointing errors.
  • Probabilistic room impulse response (RIR) priors, incorporating direct path and first-order reflections, were generated from camera-based geometric and material cues, mapping environmental uncertainty to arrival-time variances.
  • A path-wise posterior distribution was constructed under RIR prior constraints, utilizing matched-filter outputs and an adaptive fusion strategy (MAP/MMSE estimators) for debiased TOA measurements.

Main Results:

  • The proposed method achieved mean localization errors of 0.096 m in static tests and 0.115 m in dynamic tests.
  • Vision-assisted acoustic channel modeling significantly improved the stability and interpretability of TOA measurements compared to conventional methods.
  • The fusion anchor effectively perceived and utilized indoor geometric and material information to generate accurate RIR priors.
  • Debiased TOA measurements with calibratable variances were obtained, enhancing downstream localization filter performance.

Conclusions:

  • The developed smartphone-based indoor localization method, leveraging vision-assisted acoustic channel modeling, demonstrates superior accuracy and robustness in complex indoor environments.
  • The fusion anchor's ability to perceive environmental geometry and materials provides crucial priors for acoustic channel modeling, effectively addressing occlusion and multipath issues.
  • The proposed approach offers a significant advancement over conventional TOA estimation techniques, paving the way for more reliable indoor positioning systems.