Review of Navigation Assistive Tools and Technologies for the Visually Impaired

Messaoudi, Mohamed Dhiaeddine; Ménélas, Bob-Antoine J.; Mcheick, Hamid

doi:10.3390/s22207888

Cited by 42 publications

(19 citation statements)

References 121 publications

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“…The last step in building the GED map is dividing the edge-depth map into five rows and five columns (25 grids). The row and the column size for each grid were 48 and 64 pixels, respectively, since the size of the edge depth map was 320x240 pixels [12].…”

Section: Grid-edge-depth Map Buildingmentioning

confidence: 99%

“…GED-map can measure an object's distance using a stereo camera built using two 720-pixel web cameras and can measure objects up to 500 cm. Initially, this method was developed for wheeled robots with a holonomic drive system to avoid obstacles when navigating in specific environments [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…This research has developed a prototype for people with visual disabilities by utilizing the results of video acquisition using a stereo camera [14]. It was implemented in a helmet similar to that used on wheeled robots [12]. The camera is mounted on an ordinary cyclist's helmet and is processed using a portable computer inserted into a backpack.…”

Section: Introductionmentioning

confidence: 99%

“…The camera is mounted on an ordinary cyclist's helmet and is processed using a portable computer inserted into a backpack. The problem with helmets equipped with stereo cameras is that the camera's viewing angle has not been considered [12]. The unfixed angle of the stereo camera will affect the distance between the user and the object or obstacle in front of him.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Algorithm of Distance Calculation Based-on Grid-Edge-Depth-Map and Gyroscope for Visually-Impaired

Rahmani¹,

Ruliah²

2023

matrik

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This paper presented a new algorithm for determining the distance of an object in front of a stereo camera placed on a helmet. By using a stereo camera with a Sum of Absolute Difference with a Sobel edge detector, our previous Grid-Edge-Depth map algorithm could calculate the objects’ distance up to 500 cm. The problem started when a vision disability person used the device with an unfixed stereo camera angle. The unspecified angle caused by the helmet’s movement influenced the distance calculation result. This novel process started with calculating the distance from a Grid-Edge-Depth map considering unfixed angle data of the x-axis from a gyroscope sensor placed on the stereo camera using the trigonometry formula. The angle data used was the x-axis data. The distance measurement results by the system were then computed based on the unfixed angle compared to the actual distance. The test was carried out with three scenarios which required the user to stand at a distance of 100 cm, 125 cm, and 150 cm from a table, chair, or wall, with 30 tests for each scenario. The test results showed an average accuracy of 96.05% with three experimental scenarios, which meant that this machine was feasible to implement.

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Section: Grid-edge-depth Map Buildingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Algorithm of Distance Calculation Based-on Grid-Edge-Depth-Map and Gyroscope for Visually-Impaired

Rahmani¹,

Ruliah²

2023

matrik

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“…Still, it does not find the individual location. The growth of new modern technology, like artificial intelligence and Internet of Things, has unlocked opportunities to provide an interactive scheme to help VIPs to navigate in indoor surroundings independently (Messaoudi et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Piece-Wise Linear Chaotic Mapping-based Beluga Whale Optimization Algorithm-based Indoor Activity Monitoring for Elderly and Visually Impaired Persons

Alzahrani,

Rizwanullah,

Osman

2023

Journal of Disability Research

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Currently, the methods of mobile communications and Internet of Things (IoT) are designed to collect human and environmental data for various intelligent applications and services. Remote monitoring of disabled and elderly people living in smart homes is challenging. Localization and positioning in indoor surroundings need unique solutions. Moreover, positioning remains a crucial feature of any navigation system that assists visually impaired persons (VIPs) in mobility. Other indispensable features of a common indoor navigation system are obstacle avoidance, pathfinding, and abilities for user communication. In recent times, the arrival of smartphones, artificial intelligence, IoT, wearables, etc. makes it possible to devise indoor monitoring systems for smart homecare. Therefore, this study presents an Improved Beluga Whale Optimization Algorithm with fuzzy-based Indoor Activity Monitoring (IBWOA-FIMS) for elderly and VIPs. The presented IBWOA-FIMS technique mainly focused on the identification and classification of indoor activities of elderly and disabled people. To accomplish this, the IBWOA-FIMS technique employs an adaptive neuro fuzzy inference system (ANFIS) model for the indoor monitoring process. In order to improve the monitoring results of the IBWOA-FIMS technique, the IBWOA is used to adjust the parameters related to the ANFIS model. For illustrating the enhanced indoor monitoring results of the IBWOA-FIMS technique, a series of simulations were performed. The simulation values portrayed the betterment of the IBWOA-FIMS technique in terms of different metrics.

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Tactile Paving Detection and Tracking Using Tenji10K Dataset

Takano,

Nakane,

et al. 2024

IEEJ Transactions Elec Engng

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Tactile paving is a ground‐texture display device installed on sidewalks to guide visually impaired people. In recent years, many studies have been conducted on tactile paving detection using cameras to help visually impaired people walk independently. In addition, several computer vision‐based tactile paving detection methods have been proposed. However, it is difficult to compare the detection accuracy of different proposed algorithms because there are no publicly available tactile paving datasets, and the ground truth and evaluation criteria used for evaluation are often inconsistent or not clearly presented. To this end, in this paper, we collect a tactile paving dataset and name it ‘Tenji10K’. The dataset is constructed with 20 sequences consisting of 10 K first‐person tactile paving images taken in Japan, and ‘Tenji block’ refers to Japanese‐style tactile paving. For detailed evaluation analysis, up to six sequence attributes are assigned, taking into account various real‐world situations. On the other hand, we also proposed a tactile paving tracking algorithm based on an evolutionary algorithm. The effectiveness of the dataset is evaluated by conducting a comparative experiment based on Tenji10K with respect to four different methods, including our proposed method. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Review of Navigation Assistive Tools and Technologies for the Visually Impaired

Cited by 42 publications

References 121 publications

A Novel Algorithm of Distance Calculation Based-on Grid-Edge-Depth-Map and Gyroscope for Visually-Impaired

A Novel Algorithm of Distance Calculation Based-on Grid-Edge-Depth-Map and Gyroscope for Visually-Impaired

Piece-Wise Linear Chaotic Mapping-based Beluga Whale Optimization Algorithm-based Indoor Activity Monitoring for Elderly and Visually Impaired Persons

Tactile Paving Detection and Tracking Using Tenji10K Dataset

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