Intelligent serious games system for children with learning disabilities

Khayat, Ghada A. El; Mabrouk, Tamer F.; Elmaghraby, Adel

doi:10.1109/cgames.2012.6314547

Cited by 19 publications

(4 citation statements)

References 3 publications

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“…Moreover, the integration of gamified elements into VRET/ARET can increase patients' engagement [15] and may reduce the experienced subjective distress [16]. Such serious games are gaming technologies aiming to entertain but also to educate, inform and train [17,18]. In a VRET/ARET system for spider phobia, biofeedback on the level of anxiety could be used to modulate serious game elements.…”

Section: Introductionmentioning

confidence: 99%

On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals

et al. 2020

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We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques. The model training is based on biosignals acquired in a randomized controlled trial. Wearable sensors were used to collect electrocardiogram, electrodermal activity, and respiration from spiderfearful individuals. We designed and applied ten approaches for data labeling considering individual biosignals as well as subjective ratings. Performance results revealed a selection of trained models adapted for two-level (low and high) and three-level (low, medium and high) classification of anxiety using a minimal set of six features. We obtained a remarkable accuracy of 89.8% for the two-level classification and of 74.4% for the three-level classification using a short time window length of ten seconds when applying the approach that uses subjective ratings for data labeling. Bagged Trees proved to be the most suitable classifier type among the classification models studied. The trained models will have a practical impact on the feasibility study of an augmented reality exposure therapy based on a therapeutic game for the treatment of arachnophobia.

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Section: Introductionmentioning

confidence: 99%

On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals

et al. 2020

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“…Esta nueva tendencia conocida en inglés como "Serious Games" tiene entre sus principales aplicaciones el desarrollo de simuladores (Zyda, 2005), pues se toma ventaja de las bondades que herramientas como las plataformas para el desarrollo de aplicaciones virtuales, motores de física, procesadores de cómputo y procesadores gráficos ofrecen para desarrollar modelos más detallados. Este nuevo concepto se ha aplicado exitosamente en diferentes contextos, por ejemplo en la industria (Guo et al, 2012;Brasil et al, 2011), la salud (Lancaster, 2014;Erazo et al, 2014;de O Andrade et al, 2013), la educación (Schäfer et al, 2013;AdamoVillani et al, 2013;Khayat et al, 2012), lo militar (da SilvaSimones y Ferreira, 2011), la seguridad pública (García-García et al, 2012;Backlund et al, 2007), etc.…”

Section: Introductionunclassified

Uso de Plataformas para el Desarrollo de Aplicaciones Virtuales en el Modelado de Robot Manipuladores

Sánchez-Alonso¹,

Ortega-Moody

González-Barbosa

et al. 2017

Revista Iberoamericana de Automática e Informática Industrial R

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ResumenEn este trabajo se propone el uso de plataformas para el desarrollo de aplicaciones virtuales como herramientas para el modelado de robots manipuladores. La propuesta se basa en aprovechar el gran potencial que actualmente tienen estas plataformas para solucionar la dinámica de cuerpos rígidos, lo que permite modelar de forma sencilla los aspectos mecánicos del manipulador. Por otro lado, la posibilidad ofrecida por estas plataformas de incorporar código de programación en lenguajes convencionales, permite modelar el comportamiento dinámico de sistemas físicos reales, tales como sensores y actuadores, lo que hace posible la implementación de una etapa virtual de instrumentación y control tal y como se realiza en un robot real. El uso de estas plataformas permite modelar desde cero cualquier robot manipulador. El modelado de un robot paralelo reconfigurable es presentado como caso de estudio.

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“…Serious games designed for health purposes become good platforms for people to gain knowledge, get carefully controlled treatment, or get mental healthcare. Examples include health informatics [11], and therapy sessions for specific development disorders [12].…”

Section: Healthmentioning

confidence: 99%

Designing interactive virtual environments with feedback in health applications.

Li¹

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who love me the most in this world.iii One of the most important factors to influence user experience in human-computer interaction is the user emotional reaction. Interactive environments including serious games that are responsive to user emotions improve their effectiveness and user satisfactions. Testing and training for user emotional competence is meaningful in healthcare field, which has motivated us to analyze immersive affective games using emotional feedbacks. In this dissertation, a systematic model of designing interactive environment is presented, which consists of three essential modules: affect modeling, affect recognition, and affect control. In order to collect data for analysis and construct these modules, a series of experiments were conducted using virtual reality (VR) to evoke user emotional reactions and monitoring the reactions by physiological data. The analysis results lead to the novel approach of a framework to design affective gaming in virtual reality, including the descriptions on the aspects of interaction mechanism, graph-based structure, and user modeling. Oculus Rift was used in the experiments to provide immersive virtual reality with affective scenarios, and a sample application was implemented as cross-platform VR physical training serious game for elderly people to demonstrate the essential parts of the framework. The measurements of playability and effectiveness are discussed. The introduced framework should be used as a guiding principle for designing affective VR serious games.

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Intelligent serious games system for children with learning disabilities

Cited by 19 publications

References 3 publications

On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals

On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals

Uso de Plataformas para el Desarrollo de Aplicaciones Virtuales en el Modelado de Robot Manipuladores

Designing interactive virtual environments with feedback in health applications.

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