A Development of Multi-Language Interactive Device using Artificial Intelligence Technology for Visual Impairment Person

Harum, Norharyati; K, Nur’aliah Izzati M. S.; Emran, Nurul A.; Abdullah, Noraswaliza; Zakaria, Nurul Azma; Hamid, Erman; Anawar, Syarulnaziah

doi:10.3991/ijim.v15i19.24139

Cited by 7 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Teófilo et al (2018) combined AI techniques, including a speech-to-text algorithm for Portuguese, a sentence prediction algorithm for selecting the correct speech based on initial text, and a word correction algorithm to ensure the converted words are valid in the Portuguese language. Harum et al (2021) leveraged third party apps such as Google Cloud services, including the Cloud Vision API for image-to-text conversion, the Cloud Translation API for translating the converted text, and Google Cloud Text-to-Speech for converting the translated text into speech.…”

Section: Computer Visionmentioning

confidence: 99%

Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review

Chemnad,

Othman

2024

Front. Artif. Intell.

View full text Add to dashboard Cite

IntroductionDigital accessibility involves designing digital systems and services to enable access for individuals, including those with disabilities, including visual, auditory, motor, or cognitive impairments. Artificial intelligence (AI) has the potential to enhance accessibility for people with disabilities and improve their overall quality of life.MethodsThis systematic review, covering academic articles from 2018 to 2023, focuses on AI applications for digital accessibility. Initially, 3,706 articles were screened from five scholarly databases—ACM Digital Library, IEEE Xplore, ScienceDirect, Scopus, and Springer.ResultsThe analysis narrowed down to 43 articles, presenting a classification framework based on applications, challenges, AI methodologies, and accessibility standards.DiscussionThis research emphasizes the predominant focus on AI-driven digital accessibility for visual impairments, revealing a critical gap in addressing speech and hearing impairments, autism spectrum disorder, neurological disorders, and motor impairments. This highlights the need for a more balanced research distribution to ensure equitable support for all communities with disabilities. The study also pointed out a lack of adherence to accessibility standards in existing systems, stressing the urgency for a fundamental shift in designing solutions for people with disabilities. Overall, this research underscores the vital role of accessible AI in preventing exclusion and discrimination, urging a comprehensive approach to digital accessibility to cater to diverse disability needs.

show abstract

Section: Computer Visionmentioning

confidence: 99%

Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review

Chemnad,

Othman

2024

Front. Artif. Intell.

View full text Add to dashboard Cite

show abstract

“…AI, including fuzzy logic, is being used to develop applications and mobile devices that are useful for those with visual impairment, including the elderly. Harum et al, for instance, have used AI technology and smartphone application technology such as the Digital Daisy Book Reader to develop a multi-language interactive book reading device that can be used by the visually impaired to 'read' information in public places [24]. Conversely, mobile apps for smartphones are increasingly being developed to help users manage a huge range of human needs, from finding ways for dysarthic children (children with a neurological disorder that damages their ability to speak) to communicate using 'daily usable conversation terms' [25], to encouraging inveterate online texters to find more polite ways of communicating [26].…”

Section: Literaturementioning

confidence: 99%

Development of a Fuzzy Model and Usability Test of a Recommended Interface Design for Mobile Phones for Elderly Users

Polnigongit

Chanwimalueng²,

Fitzgerald³

2023

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

Although mobile phone application developers aim to design software to be user-friendly, elderly users report having problems with flexible user interfaces. The purpose of this study was to examine a range of flexible user interface designs for mobile phones with the aim of locating and addressing the limitations reported by elderly users. Accordingly, a fuzzy model drawing on a range of variables was developed from an age/vision impaired related data set for the development of a variety of basic design elements for user interfaces. The model was tested to assess the preciseness and accuracy of its functions, achieving a Mean Absolute Error (MAE) close to 0 and an Effectiveness Index (EI) close to 1, giving the model a high value for effectiveness. A subsequent usability test of the generated design interfaces using four types of mobile phones (18 screens in all) was conducted among 25 elderly users with vision impairment. The findings showed that the size and shape of both numeric and function buttons was a significant factor in assessing phone usability both for communication and for social media use, as was text and number size, although, significantly, the latter was qualified by screen size. Recommended numeric and dial function button sizes are 15.6mm and 16.2 mm, respectively. Likewise, recommended text and numbers sizes are 14 and 25 points, respectively. Furthermore, square-shaped buttons with rounded-edge buttons are the most suitable for elderly users, as is a background in a light shade, with texts and icons in dark colors. The model demonstrates that it is possible to design user interfaces with particular groups in mind such as the elderly and vision-impaired, in order to enhance mobile phone usability for these groups.

show abstract

“…Database that can directly keep the data in a server [6], [13], [14], [16], [17] Limited display/dashboard: LCD/tool without an interactive user interface User-friendly dashboard for monitoring [12], [14], [17], [19], [15] No health check monitoring embedded Module to capture user temperature/health condition [11]- [19] RFID Attendance System with Contagious Disease Prevention Module Using Internet-of-Things Technology…”

Section: Open Issue Possible Solution Referencesmentioning

confidence: 99%

RFID Attendance System with Contagious Disease Prevention Module using Internet-of-Things Technology

Harum,

Ahmad Mahin,

Hamid

et al. 2023

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

This paper presents the development and implementation of an innovative Internet of Things (IoT)-based RFID attendance system integrated with a module focused on curbing the spread of contagious diseases in densely populated settings, such as schools and workplaces. Recognizing the limitations of existing radio frequency identification (RFID) attendance systems, an extensive analysis of prior works was conducted to identify crucial functionalities necessary for an effective solution. Leveraging the IoT paradigm, we devised a 3-layer architecture encompassing thermometer sensors, RFID technology, Arduino microcontrollers, Wi-Fi connectivity, and the message queuing telemetry transport (MQTT) protocol to facilitate seamless data transmission and storage. The resulting prototype enables real-time monitoring of feverish symptoms, serving as an early warning system for potential contagious illnesses while streamlining attendance management. Data collected from the IoT devices is securely stored in a centralized database and accessed through an intuitive information system embedded within the IoT application. Users can effortlessly view and manage attendance data, while administrators gain access to health-related metrics, enabling timely responses to health concerns. User evaluations of the developed system resulted in an outstanding “A” rating, validating its reliability, functionality, and user satisfaction. Future improvements involve real-world testing, scalability assurance, integration with health authorities for comprehensive data management, and automated alerts for potential disease outbreaks.

show abstract

A Development of Multi-Language Interactive Device using Artificial Intelligence Technology for Visual Impairment Person

Cited by 7 publications

References 4 publications

Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review

Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review

Development of a Fuzzy Model and Usability Test of a Recommended Interface Design for Mobile Phones for Elderly Users

RFID Attendance System with Contagious Disease Prevention Module using Internet-of-Things Technology

Contact Info

Product

Resources

About