Design and Implementation of Input Method Based on Embedded Multimedia Mobile Device

2010 ◽  
Author(s):  
Yao Xia-xia ◽  
Wu Yan-hui
Keyword(s):  
Mobile Device ◽  
Input Method ◽  
Design And Implementation

scholarly journals Libro interactivo para la enseñanza de la lengua Mazateca de Huautla de Jiménez, Oaxaca

2019 ◽  
pp. 27-34
Author(s):  
Eduardo Armas-García ◽  
Beatriz Adriana Sabino-Moxo
Keyword(s):  
Elementary School ◽  
Augmented Reality ◽  
Cultural Heritage ◽  
Mobile Device ◽  
Native Languages ◽  
3D Objects ◽  
Design And Implementation ◽  
Unity 3D ◽  
The Family ◽  
Interactive Book

Native languages are part of the cultural heritage of humanity, for this reason it is important to rescue and conserve them. This paper presents the design and implementation of an interactive book using augmented reality, which contains text in Spanish and in the Mazatec language variant of Huautla de Jiménez, Oaxaca; This material isused by teachers of the bilingual elementary school Ing. Jorge L. Tamayo, who provided feedback to developit, the topics that are included makere ference to the family and their activities in the community, food and animals. The development of this resource was made with Vuforia and Unity 3D and the UCD methodology, for its operation the user puts the camera of his mobile device on the images of the book, the application detects and identifies the marker and displays 3D objects and reproduces the audio of the pronunciation in Mazatec of the text related to the image. For the tests, two usability evaluations were conducted. The tests reported a 100% effectiveness, a 9.5 acceptance, there was an average of 5 seconds ahead of the estimated time for the completion of tasks.

Machine Learning as an Enabler of Continuous and Adaptive Authentication in Multimedia Mobile Devices

2020 ◽  
pp. 21-47
Author(s):  
José María Jorquera Valero ◽  
Pedro Miguel Sánchez Sánchez ◽  
Alberto Huertas Celdran ◽  
Gregorio Martínez Pérez
Keyword(s):  
Machine Learning ◽  
Mobile Device ◽  
Machine Learning Techniques ◽  
Security Level ◽  
Design And Implementation ◽  
Continuous Authentication ◽  
Learning Techniques ◽  
Authentication System ◽  
And Performance ◽  
Selection Of

Continuous authentication systems allow users not to possess or remember something to authenticate themselves. These systems perform a permanent authentication that improves the security level of traditional mechanisms, which just authenticate from time to time. Despite the benefits of continuous authentication, the selection of dimensions and characteristics modelling of user's behaviour, and the creation and management of precise models based on Machine learning, are two important open challenges. This chapter proposes a continuous and adaptive authentication system that uses Machine Learning techniques based on the detection of anomalies. Applications usage and the location of the mobile device are considered to detect abnormal behaviours of users when interacting with the device. The proposed system provides adaptability to behavioural changes through the insertion and elimination of patterns. Finally, a proof of concept and several experiments justify the decisions made during the design and implementation of this work, as well as demonstrates its suitability and performance.

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