A Spot Reminder System for the Visually Impaired Based on a Smartphone Camera

Takizawa, Hotaka; Orita, Kazunori; Aoyagi, Mayumi; Ezaki, Nobuo; Mizuno, Shinji

doi:10.3390/s17020291

Cited by 6 publications

(3 citation statements)

References 55 publications

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“…In [3] This study uses smart glasses to help people with vision impairments overcome their travel challenges. It used an ultrasonic sensor and a microcontroller to accurately estimate the distance and detect the barrier.…”

Section: IImentioning

confidence: 99%

Smart System for Visually Impaired People

Gonsalves,

Rumao,

Fernandes

et al. 2023

IJRASET

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The main objective of the Smart System is to enable effortless and more unhindered movement for visually impaired people. People who are blind have a full life of responsibilities. However, being blind makes it difficult for them to carry out their duties. Many blind people move around and carry out their tasks using a conventional stick. Traditional sticks, however, do not detect impediments, making them useless for those who are blind. The blind individual is unaware of the types of obstructions or items in front of them. The blind person is unaware of both the object's size and the distance between him or her and it. Being blind makes it challenging to move about. They will be able to recognise anything to help persons with vision impairment by making many of their daily routines easy, pleasant, and organised. (A barrier for those who are blind). It is designed to make navigation easier for persons who are blind or visually impaired. People who are blind or have low eyesight can use it to comfortably and easily navigate and complete their everyday duties. a cutting-edge smartphone application that makes it easier for those with vision impairment to move around. The software approach suggested in this paper makes it easier and more pleasant for people with vision impairment to navigate their surroundings. The suggested solution employs a camera device— which may be a phone—and an application to assist blind and visually impaired persons in recognising things in their environment, such as TVs, tables, cars, and people this may help them avoid these things. The system will also determine the object's distance (measured in metres) and positioning inside the video feed that was collected (left, right, or centred). The device will therefore alert the user via sound from the smartphone.

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Section: IImentioning

confidence: 99%

Smart System for Visually Impaired People

Gonsalves,

Rumao,

Fernandes

et al. 2023

IJRASET

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show abstract

“…It can be used especially for supporting visually impaired people, e.g., indoor-outdoor navigation system [2] or spot reminder system [3]. This method records the movies of first-person vision with position information in daily transportation paths.…”

Section: Introductionmentioning

confidence: 99%

Efficient Position Estimation Basedon GPU-Accelerated Content-basedImage Retrieval

Kusamura

Amagasa

Kitagawa

et al. 2018

JMM

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AbstractsWe propose an efficient position estimation method based on GPUaccelerated content-based image retrieval (CBIR). The idea is to use videos of first-person vision associated with geographical position information as the database. When a user sends a current subjective image, the system estimates the position using CBIR. Since features extracted from images are in general high-dimensional vectors, thousands of vectors are extracted even from a single image, resulting in high processing cost. On the other hand, GPUs (graphics processing unit) have contributed to accelerate various processing, while they are originally for graphics processing. Therefore, we utilize GPU to accelerate CBIR with appropriate data structures and algorithms. Moreover, our proposed method considers spatial locality of pedestrians in position estimation applications in order to improve accuracy. Multimedia, Vol. 14 2, 197-230. doi: 10.13052/jmm1550-4646.1423 c 2018 We demonstrate the efficiency and accuracy of the proposed method through experiments using a video dataset. Journal of Mobile

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“…To tackle these problems, Kameda and Ohta [1] proposed a position estimation method using content-based image retrieval (CBIR) of first-person vision images, which are taken by cameras attached on someone's head or chest. It can be used especially for supporting visually impaired people, e.g., indoor-outdoor navigation system [2] or spot reminder system [3]. This method records the movies of first-person vision with position information in daily transportation paths.…”

Section: Introductionmentioning

confidence: 99%

Efficient Position Estimation Based on GPU-Accelerated Content-based Image Retrieval

Kusamura

Amagasa

Kitagawa

et al. 2018

JMM

View full text Add to dashboard Cite

We propose an efficient position estimation method based on GPUaccelerated content-based image retrieval (CBIR). The idea is to use videos of first-person vision associated with geographical position information as the database. When a user sends a current subjective image, the system estimates the position using CBIR. Since features extracted from images are in general high-dimensional vectors, thousands of vectors are extracted even from a single image, resulting in high processing cost. On the other hand, GPUs (graphics processing unit) have contributed to accelerate various processing, while they are originally for graphics processing. Therefore, we utilize GPU to accelerate CBIR with appropriate data structures and algorithms. Moreover, our proposed method considers spatial locality of pedestrians in position estimation applications in order to improve accuracy. We demonstrate the efficiency and accuracy of the proposed method through experiments using a video dataset.

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A Spot Reminder System for the Visually Impaired Based on a Smartphone Camera

Cited by 6 publications

References 55 publications

Smart System for Visually Impaired People

Smart System for Visually Impaired People

Efficient Position Estimation Basedon GPU-Accelerated Content-basedImage Retrieval

Efficient Position Estimation Based on GPU-Accelerated Content-based Image Retrieval

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