This work presents an analysis of the efficiency and effectiveness of a Video-Based Pain Monitoring System running on a Raspberry selected because it is a cheap device that can be easily carried around. The objective of the evaluated system is to allow the assessment of pain based on two characteristics: Heart Rate (HR) and facial expressions detected through the Facial Action Coding System (FACS). To measure HR an Eulerian Video Magnification (EVM) based method was implemented. EVM is one of the main current approaches to measure HR by Remote PhotoPlethysmoGraphy. FACS was used to detect pain intensity with the Prkachin and Solomon Pain Intensity (PSPI) equation which is one of the most used approaches to detect pain intensity based on facial features. To identify the PSPI value we trained a Regression Neural Network (RNN) with the UNBC-McMaster database. The experimental results demonstrate the strengths and limitations of the evaluated system.
The objective of this work is to present a model of neural network for the detection and segmentation of human's body parts (HPNet). We offer a multiplatform real-time solution that can be run on ordinary computers, as well as on mobile devices and embedded systems. Our proposal is characterized by presenting a compact solution, and by investigating a part of object detection still little explored. One of the striking features presented is the ability to recognize parts of the human body even in uncontrolled environments, due to the use of a random subset of Google's public database (Open Images Dataset) that contains images with objects in the most varied sizes, positions, lighting and occlusion conditions. At first, we offer a solution only for the detection and segmentation of the common parts of the human body, but we intend to expand its capabilities to detect other more specific parts and regions. The main purpose of our model is its use to solve specific problems that require the detection and segmentation of human's body parts, for example, in user authentication.
RESUMO Inserida no debate teórico e historiográfico do período varguista, a proposta do presente artigo é analisar a reestruturação do sistema organizativo do futebol brasileiro ocorrida no período. De forma mais específica, pretendemos investigar o papel que agentes internos e externos ao campo esportivo tiveram nesse processo.
Resumo-Neste artigoé apresentada uma abordagem para o projeto de um retificador para circuitos de colheita de energia de RF. O procedimento proposto permite a simulação do circuito com precisão aceitável, a partir da parametrização das trilhas de circuito impresso. O circuito oferece a possibilidade de ajuste da resposta de tensão CC de acordo com as frequências de entrada, com apenas dois parâmetros (relacionadosà geometria do circuito). A topologia de circuito adotadaé a do multiplicador de tensão Dickson. Um protótipo foi construído, e ensaios foram realizados para a validação do modelo.
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