MUÑOZ SAAVEDRA , Luis

En este trabajo se realiza una contribución a los sistemas automáticos de detección y clasificación de emociones, con el fin de ayudar a la adherencia en los procesos de rehabilitación. Para ello se sigue un proceso analítico en el que, en primera instancia, se realiza un estudio profundo de la teoría emocional y su evolución a lo largo de los...

This project aims to develop a system for bird identification based on their songs, targeting ecosystem researchers, ornithologists, and nature enthusiasts. The system integrates the BirdNet model to process bird audio for continuous monitorization. It incorporates automatic mechanisms to record the audio from a capture device, pass it to the...

In the field of sports, the monitoring of physiological parameters is essential to assess the physical performance of athletes and to detect possible health-related pathologies. With this information, it is possible to obtain data about the state of the body and the needs it requires. In 2022, according to data collected by the Statistics and...

In the field of sports, the monitoring of physiological parameters is essential to assess the physical performance of athletes and to detect possible health-related pathologies. With this information, it is possible to obtain data about the state of the body and the needs it requires. In 2022, according to data collected by the Statistics and...

Augmented reality and virtual reality technologies are increasing in popularity. Augmented reality has thrived to date mainly on mobile applications, with games like Pokémon Go or the new Google Maps utility as some of its ambassadors. On the other hand, virtual reality has been popularized mainly thanks to the videogame industry and cheaper...

Applied to health field, Internet of Things (IoT) systems provides continuous and ubiquitous monitoring and assistance, allowing the creation of valuable tools for diag nosis, health empowerment, and personalized treatment, among others. Advances in these systems follow different approaches, such as the integration of new protocols and...

The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In this work, we carried out a detailed study on the use of these devices (regarding the general trends); we analyzed the research works and devices marketed...

Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the elderly. Since them usually live alone and their contact with other people has decreased since pandemic, recent years studies have focused on automatic fall detection systems with wearable devices using machine learning...

Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the elderly. Since them usually live alone and their contact with other people has decreased since pandemic, recent years studies have focused on automatic fall detection systems with wearable devices using machine learning...

Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, it is convenient that a caregiver or family member visits them periodically. However, these visits do not prevent falls when the elderly person is alone. Furthermore, in exceptional circumstances, such as a pandemic, we...

Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals involved in making diagnoses. In recent years, Convolutional Neural Networks (CNNs) have been used to help in these tasks. For this reason, multiple studies that analyze the detection precision for several diseases have been...

Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals involved in making diagnoses. In recent years, Convolutional Neural Networks (CNNs) have been used to help in these tasks. For this reason, multiple studies that analyze the detection precision for several diseases have been...

Las TIC han avanzado sirviendo de apoyo a diferentes servicios, sin ser la salud una excepción. La telemedicina soluciona problemas como la demanda de atención médica o la asistencia. La telemonitorización destaca por su comodidad para controlar el estado del paciente a distancia; sin embargo, estos sistemas son costosos e implican portar un...

Automated Fundus image segmentation is tradition-ally done in the image acquisition instrument and, thus, in thiscase it only needs to be able to segment data from this acquisitionsource. Cloud providers support multi GPU and TPU virtualmachines making attractive the idea of cloud-based segmentationan interesting possibility. To implement this...

Monkeypox is a smallpox-like disease that was declared a global health emergency in July 2022. Because of this resemblance, it is not easy to distinguish a monkeypox rash from other similar diseases; however, due to the novelty of this disease, there are no widely used databases for this purpose with which to develop image-based classification...