A Dynamic Recognition Approach of Emotional States for Car Drivers

Authors: Jose Aguilar, Danilo Chavez, and Jorge Cordero

Abstract:
In this paper, we propose a recognition model of emotional state using multi-modal perception, a temporal logic paradigm (in particular, we use chronicles), and dynamical patterns. In this way, our recognition approach is based on chronicles to model the patterns, a definition of the emotions as dynamic patterns, and the idea that they are perceived in a multi-modal way (sound, vision, etc.). In this paper, we present these elements of our approach, and give one example of an application for the recognition of the emotions of the driver of a vehicle.

Keywords: Recognition of emotions, Chronicles, Dynamic patterns recognition

Link: http://link.springer.com/chapter/10.1007/978-3-319-48024-4_13

DOI: 10.1007/978-3-319-48024-4_13

A general framework for learning analytic in a smart classroom

Authors: Jose Aguilar, Priscila Valdiviezo, Jorge Cordero, Guido Riofrio, and Eduardo Encalada

Abstract. In this paper, we propose the utilization of the “Learning Analytics” paradigm in a Smart Classroom, a classroom that integrates artificial intelligence technology on the educational process. Learning Analytics can extract knowledge from the Smart Classroom platform, to better understand students and his/her learning processes. In this way, a Smart Classroom can understand and optimize
the learning process and the teaching environments proposed. The smart classroom can adapt its components to improve students’ performance, among other aspects. Particularly, this paper proposes a framework about how the Learning Analytics paradigm can be used in a Smart Classroom, in order to provide knowledge about the activities taking place within it. The framework is defined like a closed cycle of Learning Analytics tasks, which generate metrics used like feedback to optimize the pedagogical model proposed by the smart Classroom. The metrics evaluate the learning process and pedagogical practice provided by the smart Classroom. So, our main contribution is about how the Learning Analytics paradigm can be used in a Smart Classroom in order to improve the students’
performance.

Keywords: Learning analytics, Smart classroom,  Ambient intelligence, Data mining

Link: http://link.springer.com/chapter/10.1007/978-3-319-48024-4_17

DOI: 10.1007/978-3-319-48024-4_17

Reconocimiento multimodal de emociones en un entorno inteligente basado en crónicas

Autores—Jorge Cordero, Jose Aguilar

Resumen—En este trabajo se presenta un modelo de reconocimiento multimodal de emociones en tiempo real, para un salón de clases inteligente, basado en crónicas. En nuestro modelo se analizan las emociones a reconocer que están relacionadas con el proceso de aprendizaje, como son: felicidad, tristeza, ira, miedo, y sorpresa. El reconocimiento es multimodal por considerarse diferentes tipos de eventos y formas sensoriales en el proceso de reconocimiento: facial, acústico, lenguaje corporal, y otras variables propias del salón de clases inteligente, como la temperatura, el ruido la luminosidad, entre otros. Este enfoque multimodal permite modelar más precisamente las emociones del usuario, respecto a sistemas de reconocimiento de emociones unimodales.

Palabras claves— computación afectiva, reconocimiento de emociones, crónicas, ambientes inteligentes.

Conferencia
Congreso Internacional de Sistemas Inteligentes y Nuevas Tecnologías -COISINT 2016

Link: https://www.researchgate.net/publication/307888062_Reconocimiento_multimodal_de_emociones_en_un_entorno_inteligente_basado_en_cronicas

Link2: http://www.academia.edu/28352784/Reconocimiento_multimodal_de_emociones_en_un_entorno_inteligente_basado_en_cr%C3%B3nicas

Specification of a Smart Classroom Based on Agent Communities

Authors: Jose Aguilar, Luis Chamba-Eras,  Jorge Cordero

Abstract
For the development of distributed applications, it is required to define a formalization of the process of implementation. Particularly, we are interested in one type of Ambient Intelligence (AmI), the Smart Classroom. In this paper we propose the implementation of a Smart Classroom, called SaCI, using the concept of communities of agents. With this concept, we carry out the definition and implementation of sets of agents according to their roles, functionalities, characteristics, among others, in SaCI. Each community can be designed and implemented independently and later be integrated in SaCI. In this paper we present this approach and its implementation in SaCI.

Keywords
Smart educational environment, Multi-agent system, Ambient intelligence

Link: http://link.springer.com/chapter/10.1007%2F978-3-319-31232-3_95

DOI: 10.1007/978-3-319-31232-3_95

Cloud Computing in Smart Educational Environments: Application in Learning Analytics as Service

Authors: Manuel Sánchez, Jose Aguilar, Jorge Cordero, Priscila Valdiviezo-Díaz, Luis
Barba-Guamán, Luis Chamba-Eras

Abstract
In this paper, we present an extension of a Middleware for Smart Educational Environments based in agents, using the paradigm of Cloud Computing. In that sense, we detail the Middleware components, which enable the process of management of the Cloud Computing. We also present the utilization of this Middleware to provide services on the cloud about task of Learning Analytics that allow processing of data of students and learning environments, to understand and optimize the learning processes.

Keywords
Cloud computing, Smart educational environment, Learning analytics

Link: http://link.springer.com/chapter/10.1007/978-3-319-31232-3_94

DOI: 10.1007/978-3-319-31232-3_94