Low Energy Precise Navigation System for the Blind with Infrared Sensors

Marzec, Paweł; Kos, Andrzej

doi:10.23919/mixdes.2019.8787093

Cited by 13 publications

(11 citation statements)

References 5 publications

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“…The cost of the system, the long learning time needed for the user to adapt to the system are some of the reasons why the similar systems are widely used by the blind and visually impaired people. Studies did in [70] also support these findings. In most of the systems, visually impaired people need to invest more amount of time to get used to the system and understand its working which was claimed to be frustrating and discouraging [1].…”

Section: Discussionsupporting

confidence: 60%

See 1 more Smart Citation

Tools and Technologies for Blind and Visually Impaired Navigation Support: A Review

Kuriakose

Shrestha

Sandnes

2020

IETE Technical Review

132

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The development of navigation tools for people who are visually impaired had become an important concern in the research area of assistive technologies. This paper gives a comprehensive review of different articles published in the area of navigation solutions for people who are visually impaired. Unlike other review papers, this review considers major solutions that work in both the indoor or/and outdoor environments which are based on different technology. From the review, it became clear that the navigation systems proposed for the target users lack some core features that are quite important for independent navigation. Also, there can be instances in which humanitarian conditions also have to be considered in the navigation system design. Based on these findings, a set of recommendations are also given which can be considered in the future design of navigation systems for blind and visually impaired people.

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Section: Discussionsupporting

confidence: 60%

“…The system proposed in [70] presents a solution using infrared sensors, which helps to detect various objects such as buildings or walls etc. The device has to be placed on the user's arms can transmit navigation signals through vibrations.…”

Section: Ir Sensorsmentioning

confidence: 99%

Tools and Technologies for Blind and Visually Impaired Navigation Support: A Review

Kuriakose

Shrestha

Sandnes

2020

IETE Technical Review

132

View full text Add to dashboard Cite

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“…These sensors along with Arduino are designed in 5 or more compact miniaturized modules created in the form of wearables and attached to several body parts of the user through an elastic band. The whole system is divided into 3 steps (4)(5)(6)(7)(8)(9)(10) .…”

Section: Methodsmentioning

confidence: 99%

“…Distance is measured with thermographic camera and allows measuring distance between blind people and objects and road. Accuracy is about 20cm (7) .…”

Section: Introductionmentioning

confidence: 99%

Motion based smart assistant for visually impaired people

Khan¹

2020

IJST

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Objectives/Aim: The present paper deals with building a smart assistant with the aim of assisting the visually impaired people in mobility with confidence by realizing the nearby obstacles and also implement image processing techniques to recognize people. Methods: We use Raspberry Pi 4 which has increased computing performance and is interfaced to the picamera, GPS and GSM modules. Arduino pro mini with buzzer, ultrasonic sensors and vibration motors are used for obstacle detection. Certain libraries important for image processing are used such as OpenCV, Dlib, face detection (Haar cascades, HOG + Linear SVM, or CNNs), espeak for converting text to speech. Programming was implemented through Python and Arduino compiler. Findings: Analysis was carried out using the proposed system for the blind and visually impaired people who could move around comfortably with confidence and were also able to detect objects and recognize people. Hence the proposed system removes the use for the cumbersome white cane in exchange for small and handy modules which can be used in the form of wearables mounted on shoulders, hands and legs to detect the obstacles from multiple directions and provide for a comfortable wear. It was determined that the Raspberry pi 4 was incapable of running CNN detection for which ideally computer GPU was required, so HOG detection method was used instead. Application/Improvements: This project can be implemented mainly in the commercial field of helping visually impaired people with poor eyesight or being completely blind. Industrial applications can be devised and enhanced like robots and machineries along with Security, Identifying and Tracking.

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“…In terms of technology, 'assistive technology' can be regarded as a general term, so the keyword appeared more frequently and stands as a root of the map in Figure 7. Subsequently, specific technologies emerged for services with explicit demands, such as ultrasonic sensors [32], infrared sensors [33], computer vision [34], ultrawideband (UWB) [35], and GPS [36] to collect environmental information; image processing [37], convolutional neural network (CNN) [38], and deep learning [14] to achieve advanced intelligence; stereo audio [39], audio-tactile maps [40], and haptic feedbacks [41] to bridge humans and machines. From the perspective of requirement, 'accessibility', 'mobility', and 'wearable' are among the most popular keywords.…”

Section: Primary Topics and Research Hotspots By Keyword Co-occurrencementioning

confidence: 99%

A Bibliometric Narrative Review on Modern Navigation Aids for People with Visual Impairment

et al. 2021

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The innovations in the field of specialized navigation systems have become prominent research topics. As an applied science for people with special needs, navigation aids for the visually impaired are a key sociotechnique that helps users to independently navigate and access needed resources indoors and outdoors. This paper adopts the informetric analysis method to assess the current research and explore trends in navigation systems for the visually impaired based on bibliographic records retrieved from the Web of Science Core Collection (WoSCC). A total of 528 relevant publications from 2010 to 2020 were analyzed. This work answers the following questions: What are the publication characteristics and most influential publication sources? Who are the most active and influential authors? What are their research interests and primary contributions to society? What are the featured key studies in the field? What are the most popular topics and research trends, described by keywords? Additionally, we closely investigate renowned works that use different multisensor fusion methods, which are believed to be the bases of upcoming research. The key findings of this work aim to help upcoming researchers quickly move into the field, as they can easily grasp the frontiers and the trend of R&D in the research area. Moreover, we suggest the researchers embrace smartphone-based agile development, as well as pay more attention to phone-based prominent frameworks such as ARCore or ARKit, to achieve a fast prototyping for their proposed systems. This study also provides references for the associated fellows by highlighting the critical junctures of the modern assistive travel aids for people with visual impairments.

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Low Energy Precise Navigation System for the Blind with Infrared Sensors

Cited by 13 publications

References 5 publications

Tools and Technologies for Blind and Visually Impaired Navigation Support: A Review

Tools and Technologies for Blind and Visually Impaired Navigation Support: A Review

Motion based smart assistant for visually impaired people

A Bibliometric Narrative Review on Modern Navigation Aids for People with Visual Impairment

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