Fuzzy-Multiple Model of Gamified Mobile Application “Smart House” Based on Bartle Classification of Psychotypes of Players

Objetivo: avaliar o desempenho de uma técnica automática para extração de características dos tipos de tecidos de lesões por pressão por processamento de imagens digitais, embutida em um aplicativo móvel (App) para smartphones. Metodologia: estudo transversal controlado, realizado em 20 imagens de lesões sacrais e trocantéricas. Aferiu-se a concordância na caracterização tecidual presente no leito das lesões entre o App e um comitê de juízes. Resultados: a precisão global do App na identificação de granulação, liquefação e coagulação foi de 75%. Constatou-se independência intraobservador nos desfechos das aferições realizadas pelo aplicativo. Conclusões: o App obteve desfechos promissores ao classificar os tipos de tecidos inviáveis e granulação, sendo necessário aprimoramento do desempenho em feridas complexas e de outras etiologias.Descritores: Lesão por Pressão, Fotografia, Smartphone.MOBILE IMAGING APP FOR AUTOMATIC CLASSIFICATION OF PRESSURE INJURY TISSUESObjective: to evaluate the performance of an automated technique for extraction of characteristics of the types of tissues from pressure lesions by digital image processing, inserted in a mobile application (App) for smartphones. Methodology: crosssectional, controlled study of 20 images of sacral and trochanteric lesions. The concordance in the tissue characterization present in the center of the lesions between the App and a committee of judges was checked. Results: the overall accuracy of the App in the identification of granulation, liquefaction and coagulation was 75%. Intraobserver independence was observed in the results of the measurements performed by the application. Conclusions: the App obtained promising outcomes classifying non-viable tissue types and granulation tissue, and an improvement of the app’s performance is necessary in complex wounds and other etiologies.Descriptores: Pressure Ulcer, Photography, Smartphone.APLICACIÓN MÓVIL DE PROCESAMIENTO DE IMÁGENES DIGITALES PARA LA CLASIFICACIÓN AUTOMÁTICA DE LOS TEJIDOS DE LESIÓN POR PRESIÓNObjetivo: evaluar el rendimiento de una técnica automática para extraer características de los tipos de tejido de las lesiones por presión mediante el procesamiento digital de imágenes, incorporado en una aplicación móvil para smartphone. Metodología: estudio transversal controlado hecho en 20 imágenes de lesiones trocantéricas y en la región sacro. Se verificó la concordancia en la caracterización de los tejidos presentes en el lecho de las lesiones entre la aplicación y un comité de jueces. Resultados: la precisión general de la aplicación en la identificación de tejidos presentes en el lecho de las LPP (lesiones por presión) fue de 75%. Se comprobó la independencia intraobservadora en los puntos finales de las mediciones realizadas por la aplicación. Conclusiones: la aplicación obtuvo resultados promisorios al evaluar los tipos de tejidos no viables y granulación y es necesario prefeccionar el desempeño en heridas complejas y de otras etiologías.Descriptores: Úlcera por Presión, Fotografía, Teléfono Inteligente.

Download Full-text

Classification of Google Play Store Application Reviews Using Machine Learning

10.20944/preprints202007.0646.v1 ◽

2020 ◽

Author(s):

Abdul Karim ◽

Azhari Azhari ◽

Meshrif Alruily ◽

Hamza Aldabbas ◽

Samir Brahim Belhaouri ◽

...

Keyword(s):

Machine Learning ◽

Text Classification ◽

Mobile Application ◽

Mobile App ◽

User Preferences ◽

User Reviews ◽

Star Rating ◽

Single Feature ◽

Google Play

Google play store allow the user to download a mobile application (app) and user get inspired by the rating and reviews of the mobile app. A recent study analyzes that user preferences, user opinion for improvement, user sentiment about particular feature and detail with descriptions of experiences are very useful for an application developer. However, many application reviews are very large and difficult to process manually. Star rating is given of the whole application and the developer cannot analyze the single feature. In this research, we have scrapped 282,231 user reviews through different data scraping techniques. We have applied the text classification on these user reviews. We have applied different algorithms and find the precision, accuracy, F1 score and recall. In evaluated results, we have to also find the best algorithm.

Download Full-text

Digital technologies in the prevention of diabetic foot: a review on mobile applications

ESTIMA Brazilian Journal of Enterostomal Therapy ◽

10.30886/estima.v18.870_in ◽

2020 ◽

Author(s):

Sabado Gomes Dabó ◽

Maria Girlane Sousa Albuquerque Brandão ◽

Thiago Moura de Araújo ◽

Natasha Marques Frota ◽

Vivian Saraiva Veras

Keyword(s):

Diabetic Foot ◽

Mobile Applications ◽

Mobile Application ◽

Web Of Science ◽

Diabetic Foot Ulcers ◽

Eligibility Criteria ◽

Thermal Images ◽

Prevention And Early Detection ◽

Good Prevention

Analyze mobile applications developed for prevention of diabetic foot. Method: Integrative review, with searches in LILACS, BDENF, Scopus, Web of Science and PubMed databases, from 2000 to 2019. After eligibility criteria, the sample consisted of nine articles. Results: The mobile applications for prevention of diabetic foot are based on online foot monitoring through images, evaluation of thermal images of the feet, capture of images of the sole of the foot, recommendations for self-care with the feet and classification of the risk of diabetic foot. The analysis of the articles shows that the applications were considered a good prevention strategy. Conclusion: This study enabled the identification of nine mobile applications developed for prevention of diabetic foot, with predominance in the use of thermometry as the main measure for prevention and early detection of diabetic foot ulcers, with the use of thermal images and sensors associated with the mobile application.

Download Full-text

APPROACHES TO CLASSIFICATION AND CREATION OF APPLICATIONS

Academic Notes Series Pedagogical Science ◽

10.36550/2415-7988-2020-1-191-70-73 ◽

2020 ◽

Vol 1 (191) ◽

pp. 70-73

Author(s):

Olha Dushchenko ◽

Keyword(s):

Computer Science ◽

Science Teachers ◽

Mobile Applications ◽

Mobile Application ◽

Web Application ◽

Web Applications ◽

Internet Applications ◽

Internet Application ◽

Selection Of

Gadgets have become indispensable attributes of our lives, but also applications. Using applications simplifies and speeds up users. It is the future computer science teachers who must be able to create their own applications for professional duties, because the possession of tools for creating software products is one of the software learning outcomes of future computer science teachers. The concept of "application" is analyzed in the article. An "application" is defined as a software product that can run on a PC and / or mobile device due to installation or opening by a browser without installation. Types of applications are presented: desktop applications, mobile, web applications. The existing classifications of applications are given, with their characteristics, namely: web application, rich Internet application, Internet application, mobile application, hybrid mobile application, composite web application (mashup). Describes the classification of Internet applications and composite web applications. Examples of web applications are given. Statistics on the use of mobile applications of social networks and messengers, according to which the most popular application is the YouTube application. The author's classification of applications is offered: desktop applications (applications that are installed on a PC), mobile applications (applications that are installed on mobile devices), Internet applications (web applications, applications that do not require installation, but are opened by a browser and a certain mostly use the Internet). The platforms for creating applications are given. The stages of application creation are characterized: selection of the target audience, definition of purpose and functionality, type of application interface, selection of tools for application creation, application creation, application testing, improvement of the developed application. Examples of applications that can be created by future computer science teachers for further use in professional activities are offered: own website, testing system, reference book, application with presentations to educational material and tasks, guest book, forum, etc. The creation and use of applications by future computer science teachers ensures the formation of pupils' interest in computer science lessons, because pupils often use applications for personal needs, rather than educational.

Download Full-text

Intelligent Chair Sensor

International Journal of System Dynamics Applications ◽

10.4018/ijsda.2014040105 ◽

2014 ◽

Vol 3 (2) ◽

pp. 65-80 ◽

Cited By ~ 2

Author(s):

Leonardo Martins ◽

Rui Lucena ◽

Rui Almeida ◽

João Belo ◽

Cláudia Quaresma ◽

...

Keyword(s):

Neural Networks ◽

Real Time ◽

Mobile Application ◽

Intelligent System ◽

Conformation Change ◽

The Neural Network ◽

First Time ◽

Best Parameters ◽

Real Time Classification

In order to develop an intelligent system capable of posture classification and correction the authors developed a chair prototype equipped with air bladders in the chair's seat pad and backrest, which can in turn detect the user posture based on the pressure inside said bladders and change their conformation by inflation or deflation. Pressure maps for eleven standardized postures were gathered in order to automatically detect the user's posture, with resource to neural networks classifiers. First the authors tried to find the best parameters for the neural network classification of our data, obtaining an overall classification of around 80% for eleven standardized postures. Those neural networks were then exported to a mobile application to achieve a real-time classification of the standardized postures. Results showed a real-time classification of 93.4% for eight standardized postures, even for users that experimented for the first-time our intelligent chair. Using the same mobile application they devised and implemented two correction algorithms, acting due to conformation change of the bladders in the chair's seat when a poor seating posture is detected for certain periods of time.

Download Full-text

Driver Rating: a mobile application to evaluate driver behavior

South Florida Journal of Development ◽

10.46932/sfjdv2n2-001 ◽

2021 ◽

Vol 2 (2) ◽

pp. 1147-1160

Author(s):

Nielson S. Trindade ◽

Artur H. Kronbauer ◽

Helder G. Aragão ◽

Jorge Campos

Keyword(s):

Carbon Dioxide ◽

Urban Environment ◽

Fuel Consumption ◽

Intelligent Transportation Systems ◽

Mobile Application ◽

Driver Behavior ◽

Carbon Dioxide Emission ◽

Intelligent Transportation ◽

Transportation Systems

The combination of data from sensors embedded in vehicles and smartphones promises to generate great innovations in intelligent transportation systems. This article presents Driver Rating, a mobile application to evaluate the behavior of drivers based on the data gathered from vehicles´ and smartphones´ sensors. The Driver Rating application analyzes five variables (fuel consumption, carbon dioxide emission, speed, longitudinal acceleration, and transverse acceleration) to evaluate driver´s behaviors while driving. To test the Driver Rating application and identify its potentialities, an experiment was carried out on an urban environment, showing promising results regarding the classification of drivers’ behavior.

Download Full-text