Implementation of a reading device for bengali speaking visually handicapped people

Sarkar, Md. Mahade; Datta, Shuvasis; Hassan, Md. Mahedi

doi:10.1109/r10-htc.2017.8288999

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…In this case, several studies that employ image and gesture recognition, and voice detection describe the accuracy of the methods employed in them through several techniques and software tools such as Convolutional Neuronal Networks (CNNs), Support Vector Machines (SVMs), Haar cascade classifier, or Speeded Up Robust Features (SURF) method. For instance, ATs developed for visual disabilities report an accuracy between 63% and 95.1% utilizing CNNs and You Only Look Once (YOLO) [95], [121], 88% to 90% for SURF method [94], 90% for blob detection algorithm [122], 84% for Google Cloud Vision API [123], and 85% for Tesseract [124] which is a tool for OCR applications. Similarly, ATs for mobility disabilities using EEG and EMG signals report an accuracy between 80% employing both SVMs [125] and NeuroSky MindWave headset [92], 83% with the Receiver Operating Characteristic (ROC) [126], and 97.1% for detection of facial expressions through Viola-Jones algorithm [96].…”

Section: ) Research Topicsmentioning

confidence: 99%

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Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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Disabled People deal with a series of barriers that limit their inclusion, empowerment, wellbeing, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-ofart about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people. INDEX TERMS Assistive technologies, disabled people, persons with disabilities, adaptive aids, open hardware, open-source hardware, open-source software, systematic literature review.

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Section: ) Research Topicsmentioning

confidence: 99%

“…4. OCR reading and dictating assistants - [123], [124], [172]- [176], [176]- [179] [57], [63], [66] 5. Color detection and compensation cluded low-cost GPS with the accompaniment of ultrasonic sensors in order to geolocate disabled persons and help them to navigate in outdoor settings.…”

Section: Educational Devices and Materialsmentioning

confidence: 99%

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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KeyBoard-Less Online Shopping for the Visually Impaired Using Natural Language Processing and Face Recognition Mechanism

Rallabhandy

Rodda

2019

Smart Intelligent Computing and Applications

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OCR Based Image Text to Speech Conversion using K-Nearest Neighbors and Comparing with Fuzzy K-Means Clustering Algorithm

Babu

2023

2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)

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Implementation of a reading device for bengali speaking visually handicapped people

Cited by 4 publications

References 4 publications

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

KeyBoard-Less Online Shopping for the Visually Impaired Using Natural Language Processing and Face Recognition Mechanism

OCR Based Image Text to Speech Conversion using K-Nearest Neighbors and Comparing with Fuzzy K-Means Clustering Algorithm

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