An Indoor Navigation System for Visually Impaired People Using a Path Finding Algorithm and a Wearable Cap

Islam, MD. Iftekhar; Raj, Md. MarufHossain; Nath, Shantanu; Rahman, Md. Forhadur; Hossen, Sabbir; Imam, Hasan

doi:10.1109/i2ct.2018.8529757

Cited by 17 publications

(6 citation statements)

References 6 publications

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“…The systems that have been developed fall in two main categories: infrastructure based (ISB), which require installations in the environment in addition to the navigational device itself, and infrastructure less (ISL) which require only the navigational device. Multiple ISB require RFID detectors in the cane and on the ground (D'Atri et al 2007), or a wearable cap to locate IR and ultrasound systems in the room (Islam et al 2018). In ISL systems IR and sonars are also used (Ando 2008) but in a way that is independent of the installation.…”

Section: Related Workmentioning

confidence: 99%

Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance.

Nadolskis

2021

AAAI

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The project developed a device to assist blind and visually impaired users in complying with social distance rules. The main challenge was how to identify people from other objects and notify the user accordingly. Equally ambiguous was how to best notify the user that a person was violating the social distance rules. The hardware used is a Raspberry Pi running an image classification algorithm and hooked to a depth camera. The use of prediction labels and accuracy combined with the distance calculated by the depth camera made it possible to detect when a person was getting closer than 2 meters (6 ft) to the user. The device was tested both in daylight and at night, and with different lighting conditions. The device responded with a accuracy close to 1.9 meters. which is very acceptable. Testing showed that the camera is capable of identifying people coming from a 30 degrees angle from either side at around 1.9 meters of distance, giving a good range of object detection.

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Section: Related Workmentioning

confidence: 99%

Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance.

Nadolskis

2021

AAAI

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“…The signal is collected by a network of stationary IR receivers inside a building and used for localization. Following this principle, Islam et al [26] built a grid of 16 IR transmitters that continuously monitor the user's position and deployed this grid in an indoor environment. Unfortunately, the proposed algorithm does not scale well due to the memory required for computing several paths simultaneously in larger grids.…”

Section: Non-camera-based Systemsmentioning

confidence: 99%

“…Computational devices, such as application-oriented integrated circuits (ASIC), microcontrollers, or minicomputers are preferred when sensors and cameras that are not available in off-the-shelf devices are required. Low-cost microcontroller (Arduino or ARM-based) systems [26,28,43,56] are particularly attractive in the initial development phases. If the task requires more computational resources and flexibility [22,39,57], Raspberry Pi (https://www.raspberrypi.org/) systems are preferred.…”

Section: Computational Modulementioning

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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“…In the paper, Islam et at, [3], an indoor navigation system for assisting blind people is described. The system consists of a cap with IR receivers, an Arduino Nano for processing data, a headphone for the feedback with voice commands and an ultrasonic sensor for detecting obstacles.…”

Section: Introductionmentioning

confidence: 99%

Path planning for assisting blind people in purposeful navigation

Díaz-Toro

Mosquera-Ortega

Herrera-Silva

et al. 2022

IJEECS

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Blind <span>people present dificulties for reaching objects of interest in the daily life. In this sense, the integration of a path planning module for assisting blind people in purposeful navigation is noteworthy. In this work, we present an algorithm that leverages the high capability of an embedded computer with graphics processing unit (GPU) NVIDIA Jetson TX2 for computing optimal paths to objects of interest. The algorithm computes the optimal path to the objective, considering changes in the environment and changes in the position of the user. The algorithm is efficient for computing new paths when the environment changes by reusing parts of previous computations. In order to compare the performance, the algorithms were implemented and evaluated in MATLAB, C++ and CUDA, for different size of the grid and percentage of unknown obstacles. We found that the implementation on GPU has a speed up of 20 times W.R.T the implementation in C++ and more than 400 times W.R.T the implementation in MATLAB. These results boost us to integrate this module to our main system based on a stereo camera and a haptic belt and so provide to the user assistance in purposeful navigation at real time.</span>

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An Indoor Navigation System for Visually Impaired People Using a Path Finding Algorithm and a Wearable Cap

Cited by 17 publications

References 6 publications

Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance.

Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance.

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

Path planning for assisting blind people in purposeful navigation

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