AR Navigation System for Guidance of Visually Impaired Individuals Using IoT and Reinforcement Learning

The Augmented Reality (AR) Navigation System for assisting visually impaired individuals combining AR, Internet of Things (IoT), and Reinforcement Learning (RL) to improve mobility and autonomy for people with visual impairments. The system employs IoT sensors to collect real-time environmental data, including barriers and spatial configurations, which are analyzed to generate a dynamic navigation map. Utilizing AR technology, users have auditory and tactile input, enabling them to comprehend their environment and move securely. RL are used to enhance navigation routes according to user interactions and environmental variations. The system assimilates user preferences and experiences, perpetually enhancing its direction precision. The AR navigation system enables visually impaired users to navigate their surroundings with confidence via a user-friendly interface and tailored navigation support. This novel method not only challenges mobility issues but also promotes social inclusion and autonomy, setting the stage for future progress in assistive technology. The integration of these technologies signifies a substantial advancement in the development of inclusive urban environments for everyone.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/iccsp64183.2025.11089243
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
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article

AR Navigation System for Guidance of Visually Impaired Individuals Using IoT and Reinforcement Learning

G. Siva Shanmugam, Palaniappan Annamalai, Uma Mageswari R, S. Sangeetha et al.
Tactile and Sensory Interactions
article

AR Navigation System for Guidance of Visually Impaired Individuals Using IoT and Reinforcement Learning

G. Siva Shanmugam, Palaniappan Annamalai, Uma Mageswari R, S. Sangeetha, S. Sujatha, Vicky Sam Peter
article en

Abstract

The Augmented Reality (AR) Navigation System for assisting visually impaired individuals combining AR, Internet of Things (IoT), and Reinforcement Learning (RL) to improve mobility and autonomy for people with visual impairments. The system employs IoT sensors to collect real-time environmental data, including barriers and spatial configurations, which are analyzed to generate a dynamic navigation map. Utilizing AR technology, users have auditory and tactile input, enabling them to comprehend their environment and move securely. RL are used to enhance navigation routes according to user interactions and environmental variations. The system assimilates user preferences and experiences, perpetually enhancing its direction precision. The AR navigation system enables visually impaired users to navigate their surroundings with confidence via a user-friendly interface and tailored navigation support. This novel method not only challenges mobility issues but also promotes social inclusion and autonomy, setting the stage for future progress in assistive technology. The integration of these technologies signifies a substantial advancement in the development of inclusive urban environments for everyone.

Aptiv (United States) (US), SRM Institute of Science and Technology (IN), Saint Joseph's College (US), Arunai Engineering College (IN), St. Joseph's Institute of Technology (IN), Saveetha University (IN)
Openalex Percentile: Top 80%
Tactile and Sensory Interactions
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AR Navigation System for Guidance of Visually Impaired Individuals Using IoT and Reinforcement Learning — G. Siva Shanmugam, Palaniappan Annamalai, et al. · (2025) | TGRS Research Map | TGRS