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Related Concept Videos

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

537
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.
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Related Experiment Video

Updated: May 31, 2025

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

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Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities.

Xinrui Yu1, Jafar Saniie1

  • 1Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.

Journal of Imaging
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

The Visual Impairment Spatial Awareness (VISA) system uses AI and augmented reality to improve navigation and object recognition for visually impaired individuals. This technology enhances independence and quality of life through intuitive interaction.

Keywords:
indoor navigationindoor positioningobject recognitionvisually impaired

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Artificial intelligence (AI) integration enhances autonomy for visually impaired individuals.
  • Existing assistive technologies often lack holistic support for indoor activities.

Purpose of the Study:

  • Introduce the Visual Impairment Spatial Awareness (VISA) system for comprehensive indoor assistance.
  • Enhance spatial awareness, navigation, and object interaction for visually impaired users.

Main Methods:

  • Multi-level approach: AR markers for positioning, neural networks for object detection/tracking, depth data for localization.
  • Intermediate level: Navigation (obstacle avoidance, pathfinding).
  • Advanced level: Synthesized data for enhanced spatial awareness and item location, utilizing text-to-speech and speech-to-text for HMI.

Main Results:

  • VISA system demonstrated efficient indoor navigation and object detection/localization.
  • Enabled accurate label and text recognition.
  • Users interacted naturally with minimal effort in simulated environments.

Conclusions:

  • The VISA system significantly enhances spatial awareness and independence for visually impaired individuals.
  • The multi-level approach effectively addresses complex indoor navigation and interaction challenges.
  • AI-powered assistive technology offers a promising pathway for improving the quality of life for the visually impaired.