Bilingual wearable assistive technology for visually impaired persons

Rashid, Humayun; Al‐Mamun, Abdullah; Robin, Mohammad Sijanur Rahaman; Ahasan, M. Rabiul; Reza, S M Taslim

doi:10.1109/meditec.2016.7835386

Cited by 10 publications

(11 citation statements)

References 1 publication

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“…The study compiled research objectives related to direction and objectives. Figure 1 show the methodology is centered on the Information System Prototyping of Strawberry Maturity Stages using Arduino Uno [21]- [24] and TCS3200 [25] [26]. The development processes integrated in the approach were hardware-software design, software implementation, hardware implementation, and testing of the sensor, LCD, motor servo, and web.…”

Section: Methodsmentioning

confidence: 99%

Information System Prototyping of Strawberry Maturity Stages using Arduino Uno and TCS3200

Juliano

Hendrawan

Ritzkal

2020

jrc

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Strawberry is one of the commodities of subtropical fruits growing in Indonesia. It has a high economic value, attractive appeal in a red and fresh sweet fruit. The color of a strawberry shows its maturity stages, and the strawberry maturity stages affect postharvest quality. The research aimed to design and implement a tool to approve and apply the maturity stages of strawberries using Arduino Uno and display the information on the web. The method included needs analysis and analysis of work, and the design consisted of hardware design and network design. The testing consisted of TCS3200 sensor testing, LCD testing, servo motor testing, and WEB testing. The results of this study found that when the strawberry fruit was declared mature by the TCS3200 sensor as the color detection sensor, the LCD would display the texts, and the servo would open. The system on the WEB would display the total information of the sorted strawberries.

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Section: Methodsmentioning

confidence: 99%

Information System Prototyping of Strawberry Maturity Stages using Arduino Uno and TCS3200

Juliano

Hendrawan

Ritzkal

2020

jrc

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“…The fifth type or category of AT analyzed for visual disability is the color detectors. The works [180], [181] show two ATs for color detection based on Arduino boards. In the first study, the authors outline a wearable color detector mounted in a glove with voice feedback to the user through Bluetooth protocol and a headphone to inform the detected color.…”

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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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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“…An American foundation for blind people invented a "color teller" an easy-to-use device, which helps visually impaired people to identify the color of any object. Moreover, the researchers in [18] highlighted the importance of colors, and implemented a device called "Coloresia". This device could convert any color into music or words.…”

Section: Distance Notifiermentioning

confidence: 99%

“…However, Vivid is allowing the users to use the color detection services free of charge while the proposed device costs around 205 dollars. Bilingual wearable assistive technology for visually impaired people [18].…”

Section: A Vivid Applicationmentioning

confidence: 99%

Utilizing Artificial Intelligence Techniques for Assisting Visually Impaired People: A Personal AI-based Assistive Application

Alhazmi¹,

Kutbi²,

Alhelaly³

et al. 2022

IJACSA

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Nowadays, the Artificial Intelligence (AI) field has made a significant change in the real life. Numerous applications use the AI techniques for the purpose of assisting people in different life aspects. Furthermore, with the increased number of people with visual difficulties around the world, there is a need for such AI assistive applications which provide them an independent life. Limited affordable and appropriate solutions developed so far. In this paper, we present a personal AI-based assistive application called (Vivid) that supports visually impaired people being more independent. Vivid has many features such as identifying objects, objects' colors, recognizing text, and faces detection. It relies on using the mobile camera to sense the environment, and the machine learning techniques to understand the environment. By translating a meaningful information in audible sound for those users, Vivid does not require to have any visual ability. Moreover, the whole interaction with the user is only based on voice commands. The input from the user is captured as finger gestures on tablet or cell phone touch screen. In addition to Vivid, we also shade the lights on a supplementary application that notify/alarm visually impaired people of any nearby objects using sensors. These personal assistive applications were developed then tested on the real world and showed promising results.

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Bilingual wearable assistive technology for visually impaired persons

Cited by 10 publications

References 1 publication

Information System Prototyping of Strawberry Maturity Stages using Arduino Uno and TCS3200

Information System Prototyping of Strawberry Maturity Stages using Arduino Uno and TCS3200

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

Utilizing Artificial Intelligence Techniques for Assisting Visually Impaired People: A Personal AI-based Assistive Application

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