MIRÓ AMARANTE , María Lourdes

El objetivo principal de esta tesis es abordar un nuevo sistema de procesado neuromórfico de audio basado en la representación pulsante de la información. Para ello se pretende desarrollar un nuevo sensor neuromórfico de audio, que imite la funcionalidad de la cóclea biológica así como la estructura y funcionalidad del sistema nervioso para la...

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...

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La pandemia de la Covid-19 ha provocado una transformación digital en la docencia universitaria aún por valorar y analizar en todas sus dimensiones. Ante ello, las instituciones han desarrollado diferentes estrategias, también en red, para formar al profesorado. El presente artículo expone un programa universitario, los #webinarsUNIA, enmarcado...

During the locomotion, the foot is a contact surface and a source of interaction with the external environment. Because of this, its health is important to monitor in order to precociously diagnose its problems. General or specific pathologies can change its physiological function. The measurements of pressure in both dynamic and static...

This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking recognition neural network composed of three types of neurons is proposed. These neurons are based on an integrative and fire model and are capable of recognizing auditory frequency patterns, such as vowel phonemes; words are recognized as...

Abnormal foot postures during gait are common sources of pain and pathologies of the lower limbs. Measurements of foot plantar pressures in both dynamic and static conditions can detect these abnormal foot postures and prevent possible pathologies. In this work, a plantar pressure measurement system is developed to identify areas with higher or...

Existen diversos trastornos asociados a la menstruación que provocan anomalías en el ciclo, como el síndrome de ovario poliquístico, endometriosis, hiperprolactinemia o alteraciones en la glándula tiroidea. Todos ellos provocan un sangrado uterino anormal (SUA), cuyos síntomas incluye un sangrado abundante, denominado menorragia. La medición...

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The emotional or affective state has a direct impact not only on personal life, but also in the field of work, sports, rehabilitation processes, among other fields. In the evolving understanding of emotional theory, it has been theorized that an emotion can be classified according to a two-dimensional model composed of an Arousal value and a...

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This paper presents a hierarchical neuromorphic system for tracking objects. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon retina. Two AER processing layers work in cascade for firstly detecting different objects, and secondly tracking them even...

This paper presents a cascade architecture for bio-inspired information processing. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon retina. Using this architecture, we also present a multiple objects tracking algorithm; this algorithm is described...

This demonstration shows how a new bio-inspired processing cascade architecture is used for simultaneous objects tracking.

Non-verbal communication is essential in the communication process. This means that its lack can cause misinterpretations of the message that the sender tries to transmit to the receiver. With the rise of video calls, it seems that this problem has been partially solved. However, people with cognitive disorders such as those with some kind of...

Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows realtime virtual massive connectivity among huge number of neurons located on different chips [1]. By exploiting high speed digital communication circuits (with nano-seconds timing), synaptic neural connections can be time multiplexed,...

Address-Event-Representation (AER) is a communications protocol for transferring images between chips, originally developed for bio-inspired image processing systems. In [6], [5] various software methods for synthetic AER generation were presented. But in neuro-inspired research field, hardware methods are needed to generate AER from laptop...

Este proyecto denominado consiste en la creación de un prototipo de exoesqueleto para su utilización en personas con movilidad reducida en brazos y manos. Está enfocado en entrenar al paciente con distintos grados de ejercicios y esfuerzos para ayudar en las tareas de recuperación del movimiento y aumentar así la movilidad de estas partes del...

Address-Event-Representation (AER) is a communication protocol for transferring asynchronous events between VLSI chips, originally developed for bio-inspired processing systems (for example, image processing). The event information in an AER system is transferred using a highspeed digital parallel bus. This paper presents an experiment using...

In this demo we propose a method for computing real time convolution on AER images. For that we use signed events. The AER events produced on an AER retina or an image/video to AER conversor, are processed using a probabilistic multi event mapper that produces more than one event for each incoming event according to an assigned probability....

Address-Event-Representation (AER) is a communication protocol for transferring asynchronous events between VLSI chips, originally developed for bio-inspired processing systems (for example, image processing). Such systems may consist of a complicated hierarchical structure with many chips that transmit data among them in real time, while...

Las herramientas de aprendizaje automático se desarrollaron inicialmente para clasificar información visual y detectar patrones en éstas. Debido a ello, muchos trabajos transforman información almacenada analógicamente a imágenes para utilizar sistemas de clasificación basados en redes neuronales convolucionales. Sin embargo, con el auge de las...