En esta tesis se presenta una arquitectura software basada en Inteligencia Artificial (IA) para la detección temprana de ...

In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed ...

Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object ...

Deep-learning object-detection architectures are gaining attraction, as they are used for critical tasks in relevant ...

Esta tesis, presentada como conjunto de artículos de investigación, estudia y analiza soluciones para los sistemas de ...

Law enforcement agencies and private security companies work to prevent, detect and counteract any threat with the ...

In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without ...

The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised ...

Esta tesis presentada como un compendio de artículos, analiza el problema de reconocimiento de actividades y detección de ...

This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are ...

Traffic sign detection systems constitute a key component in trending real-world applications, such as autonomous driving, ...

After years of technological advances, parking is still a problem for many people, as a time-consuming task, they have to ...

In order to evaluate AAL systems, virtual environments help to reduce costs and time, but these environments do not include ...

Currently, the lifestyle of elderly people is regularly monitored in order to establish guidelines for rehabilitation ...

Stress is a recognized as a predominant disease with growing costs of treatment. The approach presented here is aimed to ...

Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize ...

A methodology to quantify the dependence be tween features using the Ameva discretization algorithm and the advantages of ...

Objetivo: Presentamos una aplicación informática para teléfonos móviles ideada para el control de sesiones de ejercicio ...

In this paper a new neuroscience technique is applied into Marketing, which is becoming commonly known as the field of ...

An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer ...

Activity recognition (AR) and fall detection (FD) research areas are very related in assistance scenarios but evolve ...

Human activity recognition systems are currently implemented by hundreds of applications and, in recent years, several ...

During the last decade, technology has created a new field in software development, known as pervasive computing, thank ...

Nowadays, the recognition of physical activity (PA) is a well-known problem with many solutions. Sev eral kind of algorithms, ...

This paper aims to develop a cheap, comfortable and, spe cially, efficient system which controls the physical activity ...

A lot of significant data describing the behavior or/and actions of systems can be collected in several domains. These ...

The standard backward propagation of errors algo rithm (abbreviated as back-propagation algorithm) is commonly used for ...

The recent boom of GPS (Global Positioning System) as a universal method of location has meant that most people in developed ...

This article aims to develop a minimally intrusive system of care and monitoring. Furthermore, the goal is to get a cheap, ...

Internet of Things has achieved a great expectation in the last few years, largely due to possibilities in the field of ...

Security has become one of the most important fea tures in modern computation, especially due to the point of view of the ...

Children younger than 3 years old are very special humans, their psychomotor and social development is very fast and parents ...

Children younger than 3 years old are very special humans, their psychomotor and social development is very fast and ...

En este documento se muestra una arquitectura software para la gestión y desarrollo de aplicaciones susceptibles de ser ...

Intemet of Things has achieved a great expectation in the last few years, largely due to possibilities in the field of the ...

Our work provides developers of context-based application for mobile devices a framework for developing comprehensive and ...

In this paper, a methodology which quantifies the dependence beteen features in a data set is developed. This methodology ...

Este trabajo expone cómo añadiendo aspectos relacionados con la vigilancia tecnológica, las técnicas creativas aplicadas ...

The arrival of ubiquitous computing and the increasing use of mobile devices can geta lot of information about the user. ...

In this paper, a preliminary methodology which quantifies the dependence between features in a data set by using the Ameva ...

This article aims to develop a minimally intrusive system of care and monitoring. Furthermore, the goal is to get a cheap, ...

This article is focused on adapting lighting con­ditions to user lighting preferences. A theoretical analysis of lighting ...