Jorge CorderoUniversidad Técnica Particular de Loja | UTPL · Departamento de Ciencias de la Computación
Jorge Cordero
Ph.D. in Applied Sciences
About
34
Publications
11,755
Reads
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375
Citations
Citations since 2017
Introduction
Additional affiliations
September 2006 - present
Education
July 2015 - August 2019
Field of study
- Artificial Intelligence, Affective Computing, Ambient Intelligence
September 2013 - September 2014
Field of study
- Sistemas Inteligentes para la Comunicación y Movilidad Accesibles
October 1996 - March 2002
Publications
Publications (34)
The handwritten signature is the most common method used to verify the legality of documents and plays a critical role in indicating a person’s identity. Traditionally, a person determines the validity of a signature by manually comparing it to a stored record of genuine signatures. Manual verification is time-consuming and depends on the skill of...
Purpose
This research work aims to arise from developing new communication channels for customer service in micro, small and medium enterprises (MSMEs), such as chatbots. In particular, the results of the usability testing of three chatbots implemented in MSMEs are presented.
Design/methodology/approach
The methodology employed includes participan...
The growing influence of users on social networks has caused positive and negative content to spread across the Internet. This paper arises from the need to have new tools that allow an analysis of sentiments based on the opinions made by users on the social network Twitter. In particular, the results of identifying the positive and negative opinio...
This article presents a city simulator game named Metropolis. It is an emerging serious game that generates emergent properties. Metropolis can be used as a smart city for city planning, based on collective decisions. It also analyzes how its emergent properties might be used for managing a smart city and, especially, how it promotes e-participatio...
This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicles. This hierarchical model for the recognition of the style of the car driving considers three aspec...
![Fig. 2. Facial recognition methods [3].](profile/Pablo-Torres-Carrion/publication/339632614/figure/fig2/AS:965493343141888@1607202959054/Facial-recognition-methods-3_Q320.jpg)
![Fig. 4. Local binary patterns original process [7].](profile/Pablo-Torres-Carrion/publication/339632614/figure/fig3/AS:965493343141889@1607202959083/Local-binary-patterns-original-process-7_Q320.jpg)
The methods and techniques of detection of the human face and facial recognition have presented a great impulse in recent years, thanks to the advance in areas such as artificial vision and machine learning. Although deep neural network techniques are in vogue, traditional techniques allow you to create applications that do not consume many resourc...
This paper describes the implementation of a multi-agent architecture based on communities of agents for communication between devices that exist in the classroom. Taking into account that nowadays classrooms have an endless number of devices running, but not working intelligently, if not, only when the teacher manipulates it. Therefore, this archi...
This paper presents a comparison of three neural network frameworks used to make volumetric counts in an automated and continuous way. In addition to cars, the application count pedestrians. Frameworks used are: SSD Mobilenet re-trained, SSD Mobilenet pre-trained, and GoogLeNet pre-trained. The evaluation data set has a total duration of 60 min and...
Emerging serious games mark the beginning of a new era in video games. Emerging serious games introduce advances in distributed artificial intelligence into their design in order to guide the player’s manipulation of a specific subject in an adaptive way. In this article, we present a city simulator game, called Metropolis, which generates emergent...
This paper presents a comparison of three neural network frameworks used to make volumetric counts in an automated and continuous way. In addition to cars, the application count pedestrians. Frameworks used are: SSD Mobilenet retrained , SSD Mobilenet pre-trained, and GoogLeNet pre-trained. The evaluation data set has a total duration of 60 minutes...
En el campo tecnológico, específicamente en Inteligencia Artificial existe una área denominada Computación Afectiva, existen investigaciones que permiten determinar el estado afectivo del estudiante, obtener este tipo de datos es crucial para un educador ya que permite al mismo determinar si el ser humano que esta formando realmente esta en optimas...
The Affective computing seeks in real time to capture, analyze, classify and identify emotions in order to determine what needs to be
human, improving services / products, with this lifestyles The present investigation is a systematic review of literature about the
Affective computing related to attention Proposing questions that will allow knowing...
This project was designed to present a prototype of facial authentication system that allows for the recognition of students who are using an online platform to take final evaluations in our Distance Learning Program, with the purpose of detecting fraud and identity theft. It uses the OpenFace algorithm based on neural networks, taking input from t...
In this article, we propose a model of trust and reputation, for the management of emotions in a Smart Classroom (SaCI). In general, a SaCI can model its different hardware and software components as agents. On the other hand, in intelligent environments modeled with agents, it is necessary to define the interaction mechanisms used in conversations...
In this article, a hierarchical pattern is proposed to identify the learning style of students in a classroom, which is composed of two levels, one to recognize the emotional state, and another to identify the learning style. Each level is defined by different types of descriptors, which are perceived from a multimodal approach. In addition, using...
A smart classroom integrates the different components in a traditional classroom, by using different technologies as artificial intelligence, ubiquitous, and cloud paradigms, among others, in order to improve the learning process. On the other hand, the learning analytics tasks are a set of tools that can be used to collect and analyze the data acc...
Las TIC, en el aula, ofrecen un entorno más rico en el aprendizaje y la experiencia del docente es más dinámica. Además, las TIC en el área de la educación permiten atender problemas tales como la inclusión social e igualdad de oportunidades educativas.
Partiendo de estas premisas se presenta el análisis de uso del dispositivo de votación llamado A...
In this paper, we propose a Fuzzy Cognitive Map (FCM) to opinion mining, with special attention to media influence on public opinion. Particularly, in this paper, we describe the FCM, the concepts and relationships among them. Our opinion mining model is based on a multilevel FCM, to distribute the concepts according to the aspects that describe th...
In this article, we propose the concept of “Autonomic Cycle Of Learning Analysis Tasks” (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic cycle, each...
Learning Analytic is a useful tool in the context of the learning process, in order to improve the educational environment. In previous works, we have proposed autonomic cycles of learning Analytic tasks, in order to improve the learning process in smart classrooms. One aspect to be considered by the autonomic cycles is their adaptability to the fo...
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 perceive...
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...
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...
Las emisiones nocivas que provienen de los vehículos representan una de las principales fuentes de contaminación. El exceso de agentes contaminantes en la atmósfera es uno de los mayores problemas a los que nos enfrentamos en la actualidad. En este trabajo se estudia como representar el comportamiento de varios conductores de acuerdo a los estilos...
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...
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 th...
In this paper is presented an architecture of a Reflective Middleware based in Cloud Learning, for Intelligent Learning Environments.The middleware is defined using the Multiagent Systems paradigm, and proposes academic services on the cloud based on the current context.That is, the middleware manages educational services in the cloud to enhance th...
In this paper is proposed an architecture of a Reflective Middleware, which aims to manage an Intelligent Environment of Learning based in cloud learning, which is modeled using a Multiagent system. The Middleware is able to monitor the environment consisting of physical and virtual objects, intelligent or not, based on the context. The middleware...
En la literatura se han venido especificando ambientes inteligentes para diferentes ámbitos basados en el paradigma de sistemas multiagentes, como por ejemplo para salones inteligentes. Por otro lado, los componentes de un salón inteligente necesitan permanentemente comunicarse, interactuar, entre otras cosas, ya que muchas de las tareas deben real...
Projects
Projects (5)
Define a multimodal model to analyze the level of attention of students based on affective computing techniques to help in the teaching-learning process
General:
Research, develop and innovate in the field of Human-Computer Interaction and related sciences.
Specific:
1) Make efficient use of the existing research laboratories at the "Universidad Técnica Particular de Loja" with the development of projects, product management, graduate degree works and postgraduate theses, in the areas of science related to HCI.
2) Propose frameworks for efficient management of digital resources based on HCI principles.
3) Research from the academy the attention and inclusion of people with disabilities with multiprofessional teams to achieve maximum independence with the enhancement of their abilities.
4) Promote the internationalization of the research group through international networks of HCI and related science areas.
5) Actively participate in scientific events aligned to HCI and insertion of people with disabilities in education, health and work.
Implementar una plataforma de servicios emergente auto-organizada basada en la computación autonómica-reflexiva, para Ambientes Inteligentes Educativos, en instituciones de educación superior en Ecuador, haciendo hincapié en servicios de analítica de datos, reconocimiento de contexto, y aprendizaje computacional basado en minería semántica.
