Word recognition incorporating augmented reality for linguistic E-conversion

Rose, R. Faustina Jeya; Bhuvaneswari, G.

doi:10.1109/iceeot.2016.7755061

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Education, Learning, E-Learning, and mobile learning is the fifth top application in this list, with 93 publications and the United Kingdom as the leading country with 12 documents. The most popular related topics with education are: augmented reality [141][142][143], context aware [144][145][146], and near field radio technologies such as RFID [147][148][149] and Near Field Communication (NFC) [150,151].…”

Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…This is how AR is being used by publishers to supplement and update information in textbooks or in other print materials (Hawkinson 2014). Marker-based AR had been used widely in helping teach vocabulary; learning characters in Chinese, facilitating English to Tamil translation (Rose and Bhuvaneswari 2016), learning Filipino and German vocabulary (Santos et al 2016), assisting in pronouncing new English words (Solak and Cakir 2015), or generating flashcard interactions for English (Li, Chen, and Vorvoreanu 2015).…”

Section: Present Work/studies/ Related Work and Technologiesmentioning

confidence: 99%

Audio-augmented arboreality: wildflowers and language

2021

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Before colonisation, there were over 250 languages spoken in Australia. Today only thirteen Indigenous languages are still being taught to children (AIATSIS 2019). Language has an important part to play in cultural maintenance and 'closing the gap' in terms of First Peoples' cultural heritage, identity, and sense of belonging. In this work, we aim to develop an engaging and easy way to teach and learn the local Indigenous names of wildflowers using a mobile device. This paper presents the development of a phone application that runs on a local machine, recognises local wildflowers through its camera, and plays associated sounds and displays associated text in the Noongar language. The prototype mobile application has been developed with MobileNets model on the TensorFlow platform. The dataset is derived from Google searches, while the sound files are generated from label text by running an apple script. UI and interactivity have been developed by using Vuforia and the Unity game engine.Finally, the Android Studio is used to deploy the app. At this point in time, the prototype can only recognise ten local flowers, with 85%~99% of accuracy. We are working with a larger dataset towards developing the full application.

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“…N'utilisant pas l'emplacement physique, celles-ci reposent plutôt sur des capteurs optiques, le plus souvent une caméra montée sur un ordinateur ou intégrée à un appareil portable. Rose et Bhuvaneswari (2016), par exemple, ont utilisé un logiciel qui exploite les capacités du téléphone intelligent pour détecter des objets externes à l'aide de la caméra pour faciliter la traduction des textes anglais vers le tamoul. Le texte tamoul est superposé au texte anglais capturé en donnant le sens au mot capturé dans la langue anglaise.…”

Section: Ra Et Enseignement/apprentissage Des Languesunclassified

Réalité Augmentée et développement des compétences langagières à l’oral : enjeux et perspectives

Pénélope,

Panagiotis,

Panagiotis

2020

jlc

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La présente contribution explore les possibilités d'utilisation de la Réalité Augmentée dans l’enseignement/apprentissage des langues et, plus précisément, du français langue étrangère (FLE). La Réalité Augmentée est une technologie qui, grâce à la pénétration croissante des technologies/appareils mobiles, peut désormais être utilisée pour l'enseignement des langues étrangères. Les auteurs de cette publication se proposent de contribuer au débat concernant l’exploitation des applications de Réalité Augmentée comme outils pédagogiques en classe de langue. Le texte présente le champ de recherche et les caractéristiques de cette technologie ainsi que les facteurs qui influencent son intégration aux cours de langues. Enfin, cet article vise à décrire une expérience menée auprès des étudiants hellénophones du Département de Langue et de Littérature françaises de l’Université Aristote afin de démontrer comment la Réalité Augmentée peut être utilisée pour développer la compétence de production orale. Abstract This contribution explores the possibilities of using Augmented Reality in the teachingand learning of foreign languages and, more specifically, of French as a foreign language.Augmented Reality, is a technology which, thanks to the increasing penetration oftechnologies and mobile devices, can now be used for teaching.The authors of this publication intend to contribute to the debate concerning the use ofAugmented Reality applications as teaching tools in language classroom. The paperpresents the current field research and the characteristics of this technology as well as thefactors that influence its integration into language courses.Finally, this paper aims to describe a project carried out with Greek-speaking students ofthe Department of French Language and Literature at Aristotle University in order todemonstrate how Augmented Reality can be used to develop speaking skills.

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Word recognition incorporating augmented reality for linguistic E-conversion

Cited by 5 publications

References 10 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

Audio-augmented arboreality: wildflowers and language

Réalité Augmentée et développement des compétences langagières à l’oral : enjeux et perspectives

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