Digital assistant for the blind

Bose, Prince; Malpthak, Apurva; Bansal, Utkarsh; Harsola, Ashish

doi:10.1109/i2ct.2017.8226327

Cited by 23 publications

(5 citation statements)

References 8 publications

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“…Offline High [17], [18] Integrated map service to provide the best route to travel to any place and assists the user in reaching that place with ease Outdoor Online High [19], [20], [21] Walking assistants Indoor, Outdoor (Both) Offline Low 28], [29], [30] Receive and send emails, read news, surf the web, get the weather forecast report, maintain a personal diary/Online journal and recognize images…”

Section: Light Detection Module Resultsmentioning

confidence: 99%

“…Rutuja V et al [28] and Bose et al [29] also help users to receive and send emails, read news, surf the web, get the weather forecast report, maintain a personal diary/Online journal and recognize images. Rutuja et al create the Personal Diary module using python and SQLite3 databases for storing previous notes.…”

Section: Digital Assistant For Visually Impaired Peoplementioning

confidence: 99%

“…Table 3 shows the State of Art Work on Digital Assistant for visually impaired people technique which has been implemented along with the analysis and the accuracy rate. and Bing Speech API Voice-controlled application used on desktop [28], [29], [30] python and SQLite3 databases…”

Section: Digital Assistant For Visually Impaired Peoplementioning

confidence: 99%

See 2 more Smart Citations

Indoor Objects Detection and Recognition for Mobility Assistance of Visually Impaired People with Smart Application

Megavath

Indra

Al-Rasheed

et al. 2023

Preprint

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Visually impaired people are individuals who have a partial or complete loss of vision. This condition can vary in severity, from mild to profound, and can be caused by a variety of factors, including genetics, injury, illness, or aging. It's important to note that visually impaired people are a diverse group with different needs and abilities, and they should be treated with respect and given equal access to opportunities and resources. Smart applications can be extremely helpful for visually impaired people by providing them with information and assistance in navigating their environment. Moreover, can greatly enhance the independence and quality of life for visually impaired people. Many applications have been proposed with individual features set and other concerns due to are expensive, difficult to use, less affordable, less accessible and are an overhead while travelling. To solving these issues, in this paper we design an android Application - Smart Vision (SV) to aid the Visually Impaired people in every possible realm of daily pursuits like for their diurnal regressions around the house/office place, taking notes of their daily affairs, recognizing the people around, identifying the colours etc. Smart Vision would enable the visually impaired to have a better user experience as the whole working of the application is divided into 6 modules - Obstacle Avoidance and Navigation Module, Digital Assistant Module, Scene Description Module, Light Detection Module, Colour Detection Module and Face Detection Module, which can be easily selected by giving a single voice command. Smart Vision is exclusively designed by keeping the memory and battery constraints of the application within permissible limits ensuring the reliability, portability and cost effectiveness to the grieved end user to make life beautiful for them. Smart Vision enables detection of the desired object with a 90% accuracy, face recognition with an accuracy of 87%, colour detection with an approximate accuracy of 75%, Digital assistant module accuracy as 91% and light detection (for light and dark intensities) minimum accuracy is 82%. It has been interpreted that the Average Response Time is under 3 seconds which makes it a high-speed device because the Raspberry pi is used for connecting the components which reduces the transit time. Finally, a comparative study has been done with the existing topologies and it is so found that the Smart Vision is applicable for both indoor and outdoor environments.

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Section: Light Detection Module Resultsmentioning

confidence: 99%

Section: Digital Assistant For Visually Impaired Peoplementioning

confidence: 99%

See 1 more Smart Citation

Indoor Objects Detection and Recognition for Mobility Assistance of Visually Impaired People with Smart Application

Megavath

Indra

Al-Rasheed

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In short, the authors drew a very lowpower and cost-effective IoT based project to ensure full support for the blind person. In paper [8], the authors focused on the development of a smart assistant, especially for blind people using voice command. This low-cost system was to build to ascertain safety as well as ensuring real-time virtual assistant.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed model was able to alert the authorized person of the blind person about the identification through the mechanism of IoT using an android application. In a study of papers [5][6][7][8][9], the authors had only proposed the architectural design of IoT based blind assistant but no home automation terminology had been presented. The authors of the paper [10] proposed a solution to develop home automation strategies and also assure security in a smart home.…”

Section: Related Workmentioning

confidence: 99%

IoT Based Smart Assistant for Blind Person and Smart Home Using the Bengali Language

et al. 2020

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Bengali is the seventh most spoken language, and 300 million people around the world speak in Bengali. The smart home is responsible for the digitization of modern society. This research reflects an Internet of Things (IoT) based smart solution, especially for the people who have a visual impairment along with the smart home. The proposed methodology presents a developed android application which will act as a smart assistant. The smart assistant is responsible for communicating with a blind person, browsing thoughts, and sharing ideas using the Bengali language. The proposed solution also focuses on the embodiment of IoT based blind stick. This article further assures a structural foundation of a smart home where blind persons and regular users will be able to control all the home appliances using Bengali voice command. This paper also illustrates experimental data analysis, such as transmission time calculation for GSM/GPRS and Bluetooth module, empirical coverage area calculation, a system usability scale (SUS), and data analysis of blind stick. We have found a SUS score of 84%. However, the proposed system will be beneficial and handy.

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Pardon? An Overview of the Current State and Requirements of Voice User Interfaces for Blind and Visually Impaired Users

Oumard

Kreimeier

Götzelmann

2022

Lecture Notes in Computer Science

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Digital assistant for the blind

Cited by 23 publications

References 8 publications

Indoor Objects Detection and Recognition for Mobility Assistance of Visually Impaired People with Smart Application

Indoor Objects Detection and Recognition for Mobility Assistance of Visually Impaired People with Smart Application

IoT Based Smart Assistant for Blind Person and Smart Home Using the Bengali Language

Pardon? An Overview of the Current State and Requirements of Voice User Interfaces for Blind and Visually Impaired Users

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