Gracian Trivino

Phedes Lab

Manual de usuario de la versión 2 de Balanced Gait Test. El interfaz de usuario se ha renovado completamente y el algoritmo de análisis de la marcha se ha mejorado. Aunque siempre caminamos e forma algo diferente, ahora las medidas son más precisas en el sentido de que al repetirlas para la misma persona los valores obtenidos son más próximos entre...

This is the user's manual of the version 2.0 of Balanced Gait Test. The User interface has been completely updated. The gait analisys has been improved to make more precise the results. The gait of a person is always different but now the results of repiting several times the test to the same person are more similar each other.

Este manual ayuda a comprender los conceptos manejados en Balanced Gait Test. Contiene detalles sobre cómo usarlo incluyendo varias ideas para su utilización práctica.

This manual helps to understand the concepts handled in Balanced Gait Test. It contains details on how to use it including several ideas for practical use.

Time series (TSs) are usually represented numerically although there are many situations where a linguistic description is preferable. Granular Linguistic Model of Phenomena (GLMP) is a paradigm used in the generation of linguistic descriptions of static situations without considering the temporal relationship of data present, for instance, in TSs....

The increased demand of systems able to generate reports in natural language from numerical data involves the search for new solutions. This paper presents an adaptation of standard Natural Language Generation methodologies to generate customized linguistic descriptions of data. Namely, we merge one of the most well-known architectures in the Natur...

Computational processes are increasingly more powerful and complex but also more difficult to understand by humans. Considering that Natural Language is a suitable tool for describing human perceptions, building selfexplanatory computational systems ready to communicate with humans in Natural Language becomes a hot challenge. Based on ideas taken f...

The generation of text reports from numerical and symbolic data is getting the attention of many researchers. This paper presents an R package useful to develop computational systems able to generate linguistic descriptions of complex phenomena. It generates text reports from numerical and symbolic data related to the phenomena under consideration....

A mobile robot equipped with 2D or 3D range sensors can move without changing its range readings if the perceived environment is poor in features. This is an ambiguous situation because a single perception can be associated with several robot poses. In consequence, robot localization capability is reduced. The problem we address is the quantificati...

Automatic linguistic description of the available data about complex phenomena is a challenging task that is receiving the attention of data scientists in recent years. As an evolution of previous research results, there is a need of creating new linguistic computational models that allow us dealing with more complex phenomena and more complex desc...

In highly connected world, the volume and variety of data is growing and growing. The Big Data era opens new challenges to address. Dealing with Big Data, we have identified and analyzed seven issues: (1) scalability, (2) efficient processing, (3) incomplete and inaccurate data, (4) specific domains, (5) relevance of information, (6) levels of deta...

Understanding player behavior has an interest to computer games researchers and developers since allows them to improve the design and implementation of computer games and to ensure that players have the expected experiences. Currently this knowledge is not usually reported to players as feedback, although sometimes it is already used as an analysi...

Automatic generation of natural language is a challenging multidisciplinary research field. This paper presents some first results in the NATCONSUMERS European project. The goal of this project is the generation of natural language recommendations that are tailored to each specific consumer characteristics for promoting more sustainable behaviors o...

The level of physical activity is one of the most important parameters to monitor the evolution of some physical and mental disorders, e.g., obesity or depression. Its continuous monitoring provides an objective and quantitative measurement tool to be applied by therapists when developing patient-specific treatments. Most of existing activity recog...

This paper presents a new technology for automatically generating linguistic reports and immediate feedback from actions performed by players during play sessions. These reports allow us to provide players with a more complete and personalized feedback about their behaviors, abilities, attitudes, skills and movements. In order to show and explore t...

We explore the possible benefit that provides a linguistic approach to Big Data. The proposal illustrates how implement Linguistic Aggregation Functions using the MapReduce paradigm. The best known paradigm applied to Big Data. The proposal allows several benefits to Big Data e.g., it allows to interpret data in a more intuitive way, reduce data si...

Self-tracking our physical activity allows us to acquire a better self-knowledge about our physical, and even mental health condition. Currently, the description of the time series provided by sensors is done by means of graphics and tables, that are hard to interpret by non-expert humans. Here, we present a computational application that dynamical...

Classifying walking patterns helps the diagnosis of health status, disease progression and the effect of interventions. In this paper, we develop previous research on human gait to extract a meaningful set of parameters that allow us to design a highly interpretable system capable of identifying different gait styles with linguistic fuzzy if-then r...

The linguistic description of data intends to provide texts that convey the most important information contained in the data. One of the main tasks to be carried out in order to build a linguistic description is the extraction and representation of the knowledge to be transmitted. To perform this task, adequate mechanisms for knowledge representati...

Virtual agents could be a solution for companies that deal with maintaining personalized contact with high volumes of customers. Nevertheless these virtual agents must show certain emotional empathy when interacting with each different customer in order to enrich the communication of information. In previous research, we have developed several inst...

inProfilePhoto performs a seemingly simple task but really hard for people with visual disabilities, such as taking a profile photo correctly framed. It interacts in real-time with the user through linguistic commands related to the movements he/she has to perform in order to get framed. When the user hears the instruction, he/she is expected to re...

Monitorizar la degradación de la cubierta vegetal es un reto dentro el área de la preservación ambiental. Las imágenes de satélite se utilizan de forma habitual para esta tarea. Sin embargo, el análisis y la interpretación de dichas imágenes lo realizan normalmente expertos humanos. Debido a la gran cantidad de datos para analizar y al número insuf...

Due to imprecise or incomplete information, ordinary reasoning often only allows us to reach conjectures rather than logical consequences. In previous papers, conjectures from a set of premises were mathematically characterized and classified into logical consequences, hypothesis, and speculations. The goal of this paper is to introduce a numerical...

As a contribution to the field of the Zadehʼs Computational Theory of Perceptions, this paper deals with generating linguistic models of those phenomena that the designer cannot completely recognize at running time. We explore the possibility of generating linguistic descriptions including in their meaning the fact the complete interpretation of in...

In this paper, human motion analysis is performed by modeling a physical complex exercise in order to provide feedback about the patient's performance in rehabilitation therapies. The Sun Salutation exercise, which is a flowing sequence of twelve yoga poses, is analyzed. This exercise provides physical benefits as improving the strength and flexibi...

Satellites situated in the orbit of Mars have provided and continue providing thousand of images of the planet surface. Nevertheless the number of expert geologists analyzing these images is limited. Typically, these experts provide linguistic descriptions of their observations remarking the relevant features in the image and ignoring the irrelevan...

In previous works, we have developed some computational models of quasi-periodic phenomena based on Fuzzy Finite State Machines. Here, we extend this work to allow designers to obtain detailed linguistic descriptions of relevant amplitude and temporal changes. We include several examples that will help to understand and use this new resource for li...

This work was grounded in the idea that the user should not be a simple data summaries recipient, and explores the possibilities of building interpretable fuzzy control systems with human-in-the-loop. For this purpose, fuzzy computational perceptions are embedded in a highly interpretable linguistic granular model. The generated model customized vo...

In this paper, we present a contribution to solve the problem of organizing the representation of experience in computational systems which are able to generate relevant linguistic descriptions of data for specific users and contexts. We claim, that, typically, the expert knowledge modeled in these systems is limited to one of the dimensions of the...

New technologies allow human beings to acquire huge amounts of information about their physical environment. Currently the challenge consists of automatically interpreting this information providing each specific user with descriptions remarking the relevant and hiding the irrelevant according to her/his specific goals. Astronomy is a traditional...

In this work, we propose an activity recognition system based on the use of a topology-based WiFi localization system combined with accelerometers for body posture recognition. The WiFi localization system is developed using a fuzzy rule-based classifier while the recognition of the body posture and its integration with the WiFi localization system...

Human motion tracking and analysis is particularly useful for a wide spectrum of applications such as entertainment and gaming, surveillance, sport training, physical rehabilitation and human-computer interaction. In this paper we focus on three major areas related to interpreting human motion: (1) human motion modelling, (2) tracking a human whil...

Human gait modeling consists of studying the biomechanics of this human movement. Its importance lies in the fact that its analysis can help in the diagnosis of walking and movement disorders or rehabilitation programs, among other medical situations. Fuzzy finite state machines can be used to model the temporal evolution of this type of phenomenon...

This paper describes the use of the granular linguistic model of a phenomenon (GLMP) to model the assessment of integer arithmetic learning and implement the automated generation of a formative criterion-based assessment report in natural language, as well as a numerical grade. The report is generated based exclusively on the objective scores autom...

The human gait is a complex phenomenon that is repeated in time following an approximated pattern. Using a three-axial accelerometer fixed in the waist, we can obtain a temporal series of measures that contains a numerical description of this phenomenon. Nevertheless, even when we represent graphically these data, it is difficult to interpret them...

This paper deals with the development of computational systems that are able to provide users with meaningful linguistic descriptions of phenomena, i.e., of occurrences, circumstances, or facts that are perceptible by their senses. Current technology allows computers to provide users with a great amount of data about a phenomenon in few seconds, ne...

Gait analysis has been explored thoroughly during the last decade as a behavioral biometric measurement. Some areas of application include: access control, surveillance, activity monitoring and clinical analysis. Our work aims to contribute to the field of human gait modeling by providing a solution based on the computational theory of perceptions....

Gait sensing by means of accelerometers yields quasi-periodic signals that can be analyzed in order to extract useful information. This paper introduces a method based on a Fuzzy Finite State Machine with temporary restrictions for tracking and recognizing the different states of human walking. Such operation is a mandatory task prior to perform a...

Monitoring the physical activity of a person is used for many applications such as medical assistance, personal security, etc. We use the accelerometers embedded in current mobile phones to identify the physical activities and generate periodical linguistic reports which describe relevant information about the activities carried out, their intensit...

E-learning systems output a huge quantity of data on a learning process. However, it takes a lot of specialist human resources to manually process these data and generate an assessment report. Additionally, for formative assessment, the report should state the attainment level of the learning goals defined by the instructor.This paper describes the...

In the field of Intelligent Transportation Systems, one important challenge consists of maintaining updated the electronic panels installed in roads with relevant information expressed in natural language. Currently, these messages are produced by human experts. However, the amount of data to analyze in real time and the number of available experts...

New technologies allow users to access huge amounts of data about phenomena in their environment. Nevertheless, linguistic description of these available data requires that human experts interpret them highlighting the relevant details and hiding the irrelevant ones. Experts use their personal experience on the described phenomenon and in using the...

We describe our results in the field of automatic linguistic description of data. Our goal is the design of a new generation of computational applications able to summarize in a few meaningful natural language sentences the meaning of huge amounts of available data about complex phenomena. As part of our research line in this field, we present our...

Human gait modeling consists of studying the biomechanics of this human movement. Its importance lies in the fact that its analysis can help in the diagnosis of walking and movement disorders or rehabilitation programs, among other medical situations. Fuzzy finite state machines can be used to model the temporal evolution of this type of phenomenon...

We present some results of a long term research project in the field of automatic linguistic description of phenomena. In this paper, we address the problem of generating linguistic descriptions of how a phenomenon changes between two states. We use a Fuzzy Finite State Machine to model phenomena evolving in time. Then we aggregate the information...

In this paper, we propose a formal representation of the meaning of sen-tences involving conceptual metaphors in the context of the research line of Com-puting with Words and Perceptions. Conceptual metaphors are mappings between conceptual domains that are common in everyday natural language usage. They are not just a matter of lexico-grammar stra...

Linguistic data summarization targets the description of patterns emerging in data by means of linguistic expressions. Just as human beings do, computers can use natural language to represent and fuse heterogeneous data in a multi criteria decision making environment. Linguistic data description is particularly well suited for applications in which...

One important challenge in the field of automatic description of data consists of assessing the qual-ity of the obtained results. This paper explores a possible approach to solve this problem based on analysis performed by readers that are familiar with the specific context. We show an example with a practical application.

Satellites in the orbit of Mars planet provide thousands of images of its surface. Typically these images are analyzed by experts that select relevant features and generate textual reports containing the result of their observations. Nevertheless, the database of images has grown up and currently this procedure is not effective enough. As a result...

There is a clear need for computational systems able to produce automatic linguistic descriptions of data about phenomena. Linguistic summarization represents an attempt to describe by means of linguistic expressions patterns emerging in data. Generating data summaries can be seen as a very complex and non-trivial data mining task. Language is the...

The impressive practical applications is one of the main reasons of success of Fuzzy Logic. The Computational Theory of Perceptions (CTP) is an extension of this theory that has not yet reached the same level of applicability. We believe that a review of the fundamentals of CTP from a epistemological perspective would provide useful insights to con...

The growth of new intelligent transportation on board systems has increased dramatically drivers' attention to secondary tasks other than driving. Potential risk of committing mistakes while driving suggests the need to evaluate the onboard systems in order to ensure safe driving practices. An interesting possibility consists of using simulators to...

The amount of data provided by computers about objects in our environment increases. Nevertheless, the ability to extract relevant and understandable knowledge from this information remains limited. On-Line Analytical Processing (OLAP) is a well known paradigm used to help users to navigate by the information stored in databases. In the research li...

Body posture recognition is a very important issue as a basis for the detection of user's behavior. In this paper, we propose the use of a genetic fuzzy finite state machine for this real-world application. Fuzzy finite state machines (FFSMs) are an extension of classical finite state machines where the states and inputs are defined and calculated...

We describe how to use a Granular Linguistic Model of a Phenomenon (GLMP) to assess e-learning processes. We apply this technique to evaluate algorithm learning using the GRAPHs learning environment.

In light of recent research and empirical findings a new view on emotion and affect has surfaced. Within this view 'feeling' (core affect) is separated from 'emotion' (psychological construction). This model appears to be a good candidate for a compu-tation model of affect and emotion. We argue that fuzzy logic is the perfect tool for its implement...

In the field of minimally invasive surgery (MIS), trainers based on virtual reality provide a very useful, nondegradable, realistic training environment. The project of building this new type of trainers requires the development of new tools. In this paper, we describe a set of new measures that allow calculating the optimal position and orientatio...

Currently, there are quite a number of computational systems that attend to humans automatically, e.g., using natural language. However, the interaction with these machines is still too artificial. Usually, these machines are insensitive to the emotional content being expressed by the communication partner, as well as incapable of expressing emotio...

The development of Internet technologies makes it possible to obtain data in near real time about the financial state of companies. Moreover, tools such as XBRL have been developed to deal with the automatic generation of business reports. However the available tools are not suitable to support the current tendency towards the so called, Continuous...

This work presents a general framework for people indoor activity recognition. Firstly, a Wireless Fidelity (WiFi) localization system implemented as a Fuzzy Rule-based Classifier (FRBC) is used to obtain an approximate position at the level of discrete zones (office, corridor, meeting room, etc). Secondly, a Fuzzy Finite State Machine (FFSM) is us...

The linguistic description of a physical phenomenon is a summary of the available information where certain relevant aspects are remarked while other irrelevant aspects remain hidden. This paper deals with the development of computational systems capable to generate linguistic descriptions from images captured by a video camera. The problem of ling...

This paper aims to contribute to the field of human gait pattern recognition by providing a solution based on the computational theory of perceptions. Our model differs significantly from others, e.g., based on machine learning techniques, because we use a linguistic model to represent the subjective designer's perceptions of the human gait process...

This work presents a general framework for people indoor localization. Firstly, a WiFi localization system implemented as a fuzzy rule-based classifier (FRBC) is used to deal with the intrinsic uncertainty of such envi-ronments. It consists of a set of linguistic variables and rules automatically generated from experimental data. As a result, it yi...

This work presents a general framework for people indoor localization. Firstly, a WiFi localization system implemented as a fuzzy rule-based classifier (FRBC) is used to deal with the intrinsic uncertainty of such envi-ronments. It consists of a set of linguistic variables and rules automatically generated from experimental data. As a result, it yi...

In this paper a method is described to automatically generate linguistic summaries of real world time series data provided by a utility company. The methodology involves the following main steps: partitioning of time series into fuzzy intervals, calculation of statistical indicators for the partitions, generation of summarising sentences and determ...

In this paper, we propose a syntactic pattern recognition approach based on fuzzy automata, which can cope with the variability of patterns by defining imprecise models. This approach is called temporal fuzzy automata as it allows the inclusion of time restrictions to model the duration of the different states. The concept of fuzzy state makes it p...

The linguistic description of a physical phenomenon is a summary of the available information where certain relevant aspects are remarked while other irrelevant aspects remain hidden. This paper deals with the development of computational systems capable to generate linguistic descriptions from images captured by a video camera. The problem of lin...

In this paper we present a new method to analyze quasi-periodic signals. This method consists of modeling these signals using a Fuzzy Finite State Machine as a particular case of a Linguistic Fuzzy Model of a dynamical system. This model defines states and transitions using a priori knowledge of the signal we want to analyze. The model is represent...

The design and development of a computational system to support robot–operator collaboration is a challenging task, not only because of the overall system complexity, but furthermore because of the involvement of different technical and scientific disciplines, namely, Software Engineering, Psychology and Artificial Intelligence, among others.In our...

The development of a computational system based on the Computational Theory of Perceptions is a challenging task that requires taking into account knowledge extended to several scientific disciplines such as Fuzzy Logic, Linguistics and Software Engineer- ing among others. In this paper we contribute to the Computational Theory of Perceptions by pr...

The idea of linguistic variable in Fuzzy Logic allows the representation of the subjective meaning of a measure at a given instant of time. This paper explores possibilities of extending the concept of linguistic term to create the linguistic description of the temporal evolution of a signal. We focus our effort in signals that, having potentially...

First-order Takagi-Sugeno models are mainly based on the interpolation between several local affine functions usually defined on trapezoidal fuzzy partitions. The standard computational model presents some shape-failures: the approximation does not preserve the positivity, monotony or convexity of the data that belong to the corresponding anteceden...

A quasi-periodic signal is a signal that, hav-ing a repetitive recognizable periodic pat-tern, has variations in period and amplitude. Examples of this type of signals are, e.g., the electrocardiogram, the accelerations pro-duced during the human gait, the vibration of a musical instrument, etc. Currently these signals are analyzed using, among oth...