Developing Walking Assistants for Visually Impaired People: A Review

Islam, Md. Milon; Sadi, Muhammad Sheikh; Zamli, Kamal Z.; Ahmed, Md. Manjur

doi:10.1109/jsen.2018.2890423

Cited by 130 publications

(72 citation statements)

References 105 publications

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“…The findings hopefully empower the knowledge of how the visually impaired persons are stressed and emotionally affected by SSD navigation and contribute to the development of the intelligent navigation devices, aiming for the VIPs’ safety and well-being. The results of our work can inspire researchers working in the field of IoT devices comprising sensors, antennas, and Bluetooth, which have created navigation rules based on a fuzzy controller [ 69 ], GPS embedded in a stick with voice recognition for obstacles detection [ 70 ], computer vision-based assistants [ 71 ], or assistive systems relying on wearable smart glasses and mobile applications [ 72 ].…”

Section: Resultsmentioning

confidence: 99%

Cognitive and Affective Assessment of Navigation and Mobility Tasks for the Visually Impaired via Electroencephalography and Behavioral Signals

Lupu

Mitruț

Stan

et al. 2020

Sensors

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This paper presented the assessment of cognitive load (as an effective real-time index of task difficulty) and the level of brain activation during an experiment in which eight visually impaired subjects performed two types of tasks while using the white cane and the Sound of Vision assistive device with three types of sensory input—audio, haptic, and multimodal (audio and haptic simultaneously). The first task was to identify object properties and the second to navigate and avoid obstacles in both the virtual environment and real-world settings. The results showed that the haptic stimuli were less intuitive than the audio ones and that the navigation with the Sound of Vision device increased cognitive load and working memory. Visual cortex asymmetry was lower in the case of multimodal stimulation than in the case of separate stimulation (audio or haptic). There was no correlation between visual cortical activity and the number of collisions during navigation, regardless of the type of navigation or sensory input. The visual cortex was activated when using the device, but only for the late-blind users. For all the subjects, the navigation with the Sound of Vision device induced a low negative valence, in contrast with the white cane navigation.

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Section: Resultsmentioning

confidence: 99%

Cognitive and Affective Assessment of Navigation and Mobility Tasks for the Visually Impaired via Electroencephalography and Behavioral Signals

Lupu

Mitruț

Stan

et al. 2020

Sensors

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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%

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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“…Generalized system architectures for sensor-, computer vision-, and smartphone-based ETAs were presented in a literature review by Islam et al, providing some details on how the components of these system work together [9]. Chronological development in the field was also recently reviewed, showing how ETAs progressed from the early 1960s to the current days [10].…”

Section: Introductionmentioning

confidence: 99%

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

Plikynas

Žvironas

Budrionis

et al. 2020

Sensors

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Currently, several outdoor navigation and orientation electronic traveling aid (ETA) solutions for visually impaired (VI) people are commercially available or in active development. This paper’s survey of blind experts has shown that after outdoor navigation, the second most important ETA feature for VI persons is indoor navigation and orientation (in public institutions, supermarkets, office buildings, homes, etc.). VI persons need ETA for orientation and navigation in unfamiliar indoor environments with embedded features for the detection and recognition of obstacles (not only on the ground but also at head level) and desired destinations such as rooms, staircases, and elevators. The development of such indoor navigation systems, which do not have Global Positioning System (GPS) locational references, is challenging and requires an overview and evaluation of existing systems with different navigation technologies. This paper presents an evaluation and comparison of state-of-the-art indoor navigation solutions, and the research implications provide a summary of the critical observations, some insights, and directions for further developments. The paper maps VI needs in relation to research and development (R&D) trends using the evaluation criteria deemed most important by blind experts.

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Developing Walking Assistants for Visually Impaired People: A Review

Cited by 130 publications

References 105 publications

Cognitive and Affective Assessment of Navigation and Mobility Tasks for the Visually Impaired via Electroencephalography and Behavioral Signals

Cognitive and Affective Assessment of Navigation and Mobility Tasks for the Visually Impaired via Electroencephalography and Behavioral Signals

Motion based smart assistant for visually impaired people

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

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