scholarly journals Malaysian Sign Language Mobile Learning Application : A recommendation app to communicate with hearing-impaired communities

Author(s):  
Hanayanti Hafit ◽  
Chiam Wui Xiang ◽  
Munirah Mohd Yusof ◽  
Norfaradilla Wahid ◽  
Shahreen Kassim

Malaysian Sign Language (MSL) is an important language that is used as the primary communication method for the deaf communities with the others. Currently, the MSL is poorly known by the Malaysians and the existing platform of learning the sign language is inefficient, not to mention the incomplete functionality of the existing mobile learning application in the market. Hence, the purpose of developing this application is aimed to increase the knowledge and recognition of the public towards the MSL and allows them to learn the sign language more effectively. One of the features in this application is sign detection, which could analyze the image captured by phone camera into sign meaning. The application also comprised various categories of the sign for efficient learning and quiz to test user knowledge against their learned sign language. Besides, there is a feedback module for the user to express their opinions and suggestions towards the application to the developer. This application is aimed to help the public to learn MSL efficiently by selecting the category of sign they wish to learn and test themselves by using the quiz module. Besides, the application could also detect the unknown sign by capturing the image and analyze it. The application helped to raise the recognition of MSL among the public and expose the public to the sign language knowledge. It had also become a small help in breaking the barrier of communication between the deaf communities and the public.

2020 ◽  
Author(s):  
Jing Liu ◽  
Hong Shan ◽  
Changli Tu ◽  
Meizhu Chen ◽  
Xiujuan Qu ◽  
...  

UNSTRUCTURED Background: Since December 2019, Coronavirus Disease 2019 (COVID-19) emerged in Wuhan city and rapidly spread throughout China. Facing this kind of public health emergency, an efficient, fast and group communication method is needed. Method: As a director of the department Pulmonary and Critical Care Medicine in a tertiary hospitals, which is the only designated one for diagnosis and treatment of COVID-19 in a medium-sized city, I analyzed and summarized the “group function” of WeChat (Weixin, micro-message) App in working about COVID-19. Results: By February 16, 2020, we have completed 1,526 citywide consultations and treatment of 322 inpatients, including 97 patients diagnosed with COVID-19, with the help of 12 WeChat groups by handy. The advantages of WeChat group are as follows: 1. Work efficiency can be improved greatly, saving labor costs. 2. Accurate and intuitive information can be gotten fast and timely, avoiding close contacting with COVID-19 patients. 3. Data and message in WeChat groups can be saved, arranged and reviewed at any time. Conclusions: The “group function” in WeChat App plays a greater role in the public health emergent work about management, diagnosis and treatment of COVID-19.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fan Yang ◽  
Abdullah Al Mahmud ◽  
Tao Wang

Abstract Background The demand for home healthcare devices arises; however, many home healthcare devices on the market are not designed to reflect the needs and features of the end-users. This study explored the user knowledge factors that hindered the design of new home healthcare devices and the interrelationships between the factors. Methods The abovementioned factors were identified from analysing the project documents of thirty-eight carefully selected home healthcare devices produced by five manufacturers; followed by interviewing the thirty stakeholders playing key roles in developing the devices. Results The design of the home healthcare devices was influenced by (1) the user insights utilised in formulating project strategies; (2) the sources of user information; (3) the execution of user research; and (4) the formulation of the manufacturers’ principal innovation processes. Conclusions The users’ characteristics and needs were not sufficiently reflected in developing new home healthcare devices. One root cause was that the end-users were not perceived by the manufacturers as a key success factor in most cases, given that most of the devices were initiated following the public sector’s requests. Actual or potential applications of this study include the facilitation of the appropriate application of human factors methods in developing new home healthcare devices and the improvement of the user performance of the end-devices.


In this study, the authors used a mixed-method approach to analyze user-generated comments on social mobile learning from three leading news sites that report the latest development in higher education. Koole’s mobile learning model was used to code comments made by the public on the three news sites. Results showed that social mobile learning has gained an increasing public engagement in the past four years. Responders’ discussion in the comments primarily focused on four themes of social mobile learning: technology adoption, effective design, faculty training, and student training. In the end, the authors discussed the implications for developers and educators and concluded with recommendations for future research in social mobile learning using user-generated comments.


2018 ◽  
Vol 11 (26) ◽  
pp. 201-218
Author(s):  
Lucken Bueno Lucas ◽  
Renan Guilherme Pimentel ◽  
Simone Luccas

The process of school inclusion for people with disabilities is a recent development, especially for the deaf individuals, so the study of how this inclusion process occurs and the teaching of Sciences/Biology for these individuals is still incipient. The objective of this work was to investigate how science/biology teaching takes place for deaf students in the city of Cornélio Procópio-PR and what difficulties are encountered by the students, teachers, and sign language interpreters in the scenario of school inclusion. To reach this goal, we interviewed teachers and interpreters who work in elementary and middle schools of the public network that attend deaf students in Cornélio Procópio. The results of the interviews demonstrated that all those involved in this process face difficulties, the interpreters indicate language as an obstacle to the interpretation of Sciences and Biology classes, since Brazilian Sign Language presents a deficit of lexicons in relation to the Portuguese Language. On the other hand, the main difficulty for the teachers is the lack of preparation to work in classes which include deaf people, jeopardizing not only their interaction with the students, but also the teaching of Sciences and Biology. 


Author(s):  
Prof. Madhuri Zambre

The main purpose of this paper is to develop a system that avoid accidents because of vehicles with high speed. Also, authorizes the pedestrians and public to cross the highway road with no risk from vehicles which are moving with high speed. Generally, drivers of the vehicles with high speed drives in an uncontrollable manner even in speed limited areas without taking into consideration about the public. Even traffic policemen could not able to control them and attain good response from the high speed vehicle drivers. Also, we cannot monitor them to limit their speed at all times in those areas. So, here we develop a system which controls the speed of the vehicles in those locations without involving the drivers. Here, we employ RF communication method in controlling the speed of the vehicles. Finally, we connect RF receiver to the vehicle and locations are connected with the transmitter. Also, the transmitters are coded to send the transmitted signals continuously with a small delay between the adjacent signals. So, if a high speed vehicle is entering the location then their receivers will automatically senses the received code. Thereafter, the speed of the vehicle is limited dynamically by employing an embedded system inside them.


Author(s):  
Mercedes Obregón Rodríguez ◽  
Maribel Valero Weeke

Education for the deaf in Mexico has gone through many stages. It started out with a school for the deaf where Mexican Sign Language flourished, then moved across the spectrum to a medical-rehabilitation paradigm in which sign language was seen as a threat to the development and use of spoken language, and then focused on the integration of deaf students with children with other disabilities. Today the public school system promotes inclusion for deaf students in regular classrooms with very poor or no specialized support. Although the normative and legal framework in Mexico supports the use of sign language and bilingual education, the situation on the ground is less than optimal. This chapter discusses the achievements and the challenges we face in providing quality education that establishes a firm basis for the total inclusion of the deaf in Mexico. The experience of the Instituto Pedagógico para Problemas del Lenguaje (IPPLIAP) with a bilingual educational model is covered. Results of a survey of teachers who work with deaf learners throughout the country are reviewed.


2021 ◽  
Vol 11 (2) ◽  
pp. 107-118
Author(s):  
Imantoko Imantoko ◽  
◽  
Arief Hermawan ◽  
Donny Avianto ◽  
◽  
...  

The communication method using sign language is very efficient considering that the speed of information delivery is closer to verbal communication (speaking) compared to writing or typing. Because of this, sign language is often used by people who are deaf, speech impaired, and normal people to communicate. To make sign language translation easier, a system is needed to translate symbols formed from hand movements (in the form of images) into text or sound. This study aims to compare performance such as accuracy and computation time of Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) with Pyramidal Histogram of Gradient (PHOG) for feature extraction, to know which one is better at recognizing sign language. Yield, both combined methods PHOG-SVM and PHOG-KNN can recognize images from hand movements that form certain symbols. The system built using the SVM classification produces the highest accuracy of 82% at PHOG level 3, while the system built with the KNN classification produces the highest accuracy of 78% at PHOG level 2. The total computation time of the fastest training and testing by the SVM model is 236.53 seconds at PHOG level 3, while the KNN model is 78.27 seconds at PHOG level 3. In terms of accuracy, PHOG-SVM is better, but in terms of computation time, PHOG-KNN takes the place.


Author(s):  
Deepak R Sawalka

Abstract: The traffic signs engraved on the streets nowadays improve traffic security by advising the driver regarding speed limits or any further potential perils like profound thrilling streets, inescapable fix street works or any common intersections. With the quick improvement of economy and innovation in the cutting edge society, vehicles have become an imperative method for transportation in the day by day travel of individuals. Albeit the fame of autos has acquainted impressive comfort with individuals, it has additionally caused a various traffic security issues that can't be overlooked, for example, gridlock and successive street mishaps. Traffic security issues are to a great extent brought about by abstract reasons identified with the driver, like obliviousness, inappropriate driving activity and resistance with traffic rules, and keen vehicles have become a compelling way to wipe out these human components. Self-driving innovation can help, or even autonomously complete the driving activity, which is vital to free the human body and extensively lessen the rate of mishaps. Traffic sign identification and acknowledgment are significant in the advancement of astute vehicles, which straightforwardly influences the execution of driving practices. Traffic sign identification and grouping is of vital significance for the fate of independent vehicle innovation. We benchmark the commented on dataset with AI baselines Convolutional Neural Organizations (CNN). Computational strategies for AI (ML) have shown their importance for the projection of possible outcomes for educated choices. AI calculations have been applied for quite a while in numerous applications. An information driven methodology with higher precision as here can be extremely valuable for a proactive reaction from the public authority and residents. At long last, we propose a bunch of exploration openings and arrangement justification for additional useful applications. Keywords: Convolutional Neural Networks, Traffic sign detection, Traffic safety, Computational Methods, machine Learning Algorithms


An Nadwah ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 65
Author(s):  
Muhammad Ferry Syahputra ◽  
Muktarruddin Muktarruddin ◽  
Elfi Yantii Ritonga

This research is motivated by the rise of radicalism ideology lately, especially in one of the organizations in the city of Rantau Prapat. The purpose of this study was to find out the dangers of radical understanding conveyed by Muhamamd Gaddafi and members of the Islamic Generation Study Circle (LSGI) to the Labuhanbatu Rantauprapat community and the application of MUI da'wah communication methods in overcoming radical LSGI understanding in Labuhanbatu, and how the Indonesian Ulema Council in overcoming obstacles. - Barriers to the communication of the da'wah. This research uses qualitative research. Data were collected by interview, observation, documentation and literature review. This research was analyzed inductively. The results obtained show that the Labuhanbatu MUI has succeeded in reducing the expansion of radical understanding brought by Muhammad Gaddafi and members of the LSGI in Labuhanbatu Rantauprapat, by applying the da'wah communication method, with this success it is expected to there will be no more people who are tempted by this radical understanding. MUI itself has provided guidance to Muhammad Gaddafi and members of the LSGI by applying the da'wah communication method, the public is no longer restless and afraid of the spread of this understanding, because they are no longer radical


2019 ◽  
Vol 7 (1) ◽  
pp. 82-93
Author(s):  
Isabelle Heyerick

This article is a critical reflection on public engagement and the concept of impact in UK research institutions, based on a recent experience. The UK impact agenda, driven by the Research Excellence Framework (REF), requires researchers to engage with the public in order to potentially have an impact on society.  This, I argue, constitutes the implicit directionality of impact as a one-way process. Recently, I provided a workshop for Flemish Sign Language (VGT) interpreters entitled ‘I interpret, therefore I am’ at the Faculty of Arts of the KU Leuven (Antwerp, Belgium). The aim of the workshop, in line with the impact agenda, was to increase participants’ awareness about the interpreting process and change their perception of how an interpreter’s personal beliefs potentially influence his/her linguistic choices. However, interacting with the participants also had an impact on my current research design and me as a researcher. This particular experience led me to reconsider the implicit idea of impact as a one-way process. In what follows I argue that, impact can and - in my opinion - should be a two-way process, encouraging interaction with the public in order to have a valuable impact on society, research and the researcher.


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