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

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

220
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
220
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.3K
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.
1.3K
Visual Agnosia01:12

Visual Agnosia

542
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
542

You might also read

Related Articles

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

Sort by
Same author

Artificial Intelligence in Nephrology: From Early Detection to Clinical Management of Kidney Diseases.

Bioengineering (Basel, Switzerland)·2025
Same author

Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device.

Entropy (Basel, Switzerland)·2025
Same author

Towards Mass-Scale IoT with Energy-Autonomous LoRaWAN Sensor Nodes.

Sensors (Basel, Switzerland)·2024
Same author

LSTM-Based Virtual Load Sensor for Heavy-Duty Vehicles.

Sensors (Basel, Switzerland)·2024
Same author

Adaptive Algorithms for Batteryless LoRa-Based Sensors.

Sensors (Basel, Switzerland)·2023
Same author

Privacy-Preserving Overgrid: Secure Data Collection for the Smart Grid.

Sensors (Basel, Switzerland)·2020
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: Nov 7, 2025

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

14.6K

A Navigation and Augmented Reality System for Visually Impaired People.

Alice Lo Valvo1, Daniele Croce1, Domenico Garlisi1,2

  • 1Dipartimento di Ingegneria, Università di Palermo, Viale delle Scienze, Ed. 9, 90128 Palermo, Italy.

Sensors (Basel, Switzerland)
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

ARIANNA+ uses augmented reality and AI on smartphones to create virtual paths for visually impaired individuals. This system enhances autonomous mobility and environmental interaction without physical landmarks.

Keywords:
augmented realitycomputer visionconvolutional neural networkcultural contexthapticmachine learningnavigationvisually impaired

More Related Videos

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

236
Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.4K

Related Experiment Videos

Last Updated: Nov 7, 2025

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

14.6K
Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

236
Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.4K

Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Augmented reality (AR) and computer vision have advanced significantly, enabling smartphones to perform accurate 3D motion estimation.
  • Existing systems for visually impaired navigation often rely on physical landmarks or deployed infrastructure, limiting their flexibility.
  • There is a need for advanced assistive technologies that leverage current mobile capabilities for enhanced accessibility.

Purpose of the Study:

  • To present ARIANNA+, an enhanced system for autonomous mobility of visually impaired individuals.
  • To eliminate the reliance on physical infrastructure by utilizing virtual paths through ARKit.
  • To improve environmental interaction by enabling object recognition and content access via machine learning.

Main Methods:

  • Exploitation of ARKit for creating and following completely virtual paths.
  • Integration of convolutional neural networks (CNNs) for object and building recognition.
  • Utilization of common smartphones for processing, localization, and navigation.
  • Provision of multi-modal feedback including haptic, speech, and sound.

Main Results:

  • ARIANNA+ successfully enables navigation in both indoor and outdoor environments using virtual paths.
  • The system provides context-aware information through object recognition, enhancing user interaction.
  • Elimination of physical landmarks simplifies deployment and increases system applicability.
  • Positive user experience is facilitated through intuitive haptic, speech, and sound guidance.

Conclusions:

  • ARIANNA+ significantly enhances physical accessibility for visually impaired people by leveraging AR and AI.
  • The system offers a flexible and robust solution for autonomous navigation without physical infrastructure.
  • Future work could involve further personalization and integration with broader smart city initiatives.