Smart Navigation Aids for Blind and Vision Impairment People

Saud, S. N.; Raya, Lilysuriazna; Abdullah, Muhammad Irsyad; Isa, Mohd Zaki Awg

doi:10.1007/978-3-030-68133-3_6

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…A cost-effective and user-friendly assistance system using GPS, vibration motors, buzzers, and ultrasonic sensors was presented by Saud et al [ 67 ] for those who are visually impaired. They used the vibrating motors on a walking stick and ultrasonic sensors attached to a hat.…”

Section: Assistive Systems Useful For Navigation For Visually Impaire...mentioning

confidence: 99%

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance

Okolo,

Althobaiti,

Ramzan

2024

Sensors

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The inability to see makes moving around very difficult for visually impaired persons. Due to their limited movement, they also struggle to protect themselves against moving and non-moving objects. Given the substantial rise in the population of those with vision impairments in recent years, there has been an increasing amount of research devoted to the development of assistive technologies. This review paper highlights the state-of-the-art assistive technology, tools, and systems for improving the daily lives of visually impaired people. Multi-modal mobility assistance solutions are also evaluated for both indoor and outdoor environments. Lastly, an analysis of several approaches is also provided, along with recommendations for the future.

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Section: Assistive Systems Useful For Navigation For Visually Impaire...mentioning

confidence: 99%

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance

Okolo,

Althobaiti,

Ramzan

2024

Sensors

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“…The usage of GPS devices [8,9] as mobility assistance has become popular for outdoor navigation tasks. However, research demonstrated that it is not an adequate substitute for traditional mobility aids such as white canes and guide dogs.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Sensory Guidance System for the Visually Impaired Using YOLO and ORB-SLAM

Xie

Zhang

et al. 2022

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Guidance systems for visually impaired persons have become a popular topic in recent years. Existing guidance systems on the market typically utilize auxiliary tools and methods such as GPS, UWB, or a simple white cane that exploits the user’s single tactile or auditory sense. These guidance methodologies can be inadequate in a complex indoor environment. This paper proposes a multi-sensory guidance system for the visually impaired that can provide tactile and auditory advice using ORB-SLAM and YOLO techniques. Based on an RGB-D camera, the local obstacle avoidance system is realized at the tactile level through point cloud filtering that can inform the user via a vibrating motor. Our proposed method can generate a dense navigation map to implement global obstacle avoidance and path planning for the user through the coordinate transformation. Real-time target detection and a voice-prompt system based on YOLO are also incorporated at the auditory level. We implemented the proposed system as a smart cane. Experiments are performed using four different test scenarios. Experimental results demonstrate that the impediments in the walking path can be reliably located and classified in real-time. Our proposed system can function as a capable auxiliary to help visually impaired people navigate securely by integrating YOLO with ORB-SLAM.

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“…However, this system does not consider drilling or bumps [ 16 ]. A low-cost system based on ultrasonic sensors and an audible warning system was designed to guide the visually impaired in [ 17 ]. A smart white cane based on cloud computing and Internet of Things (IoT) wireless scanners was designed to facilitate indoor navigation [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Wearable Assistive Device Integrating a Fuzzy Decision Support System for Blind and Visually Impaired People

Bouteraa

2021

Micromachines

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In this article, a new design of a wearable navigation support system for blind and visually impaired people (BVIP) is proposed. The proposed navigation system relies primarily on sensors, real-time processing boards, a fuzzy logic-based decision support system, and a user interface. It uses sensor data as inputs and provides the desired safety orientation to the BVIP. The user is informed about the decision based on a mixed voice–haptic interface. The navigation aid system contains two wearable obstacle detection systems managed by an embedded controller. The control system adopts the Robot Operating System (ROS) architecture supported by the Beagle Bone Black master board that meets the real-time constraints. The data acquisition and obstacle avoidance are carried out by several nodes managed by the ROS to finally deliver a mixed haptic–voice message for guidance of the BVIP. A fuzzy logic-based decision support system was implemented to help BVIP to choose a safe direction. The system has been applied to blindfolded persons and visually impaired persons. Both types of users found the system promising and pointed out its potential to become a good navigation aid in the future.

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Smart Navigation Aids for Blind and Vision Impairment People

Cited by 5 publications

References 13 publications

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance

A Multi-Sensory Guidance System for the Visually Impaired Using YOLO and ORB-SLAM

Design and Development of a Wearable Assistive Device Integrating a Fuzzy Decision Support System for Blind and Visually Impaired People

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