Anais do XIII Computer on the Beach - COTB'22最新文献_第3页

Tecnologias para Implementação de Laboratórios Remotos de Robótica: Revisão Sistemática da Literatura 远程机器人实验室实施技术:系统文献综述

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p059-065

Gustavo Yoshio Maruyama, Amaury Antônio de Castro Junior, Anderson Corrêa de Lima, Marcos Pinheiro Vilhanueva

引用次数: 0

Evoluindo Redes Neurais Convolucionais na Detecção de Emoções Usando Micro AGs 进化卷积神经网络在微AGs情绪检测中的应用

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p266-273

Diogenes Ademir Domingos, Omar Andres Carmona Cortes, Fábio Manoel França Lobato

{"title":"Evoluindo Redes Neurais Convolucionais na Detecção de Emoções Usando Micro AGs","authors":"Diogenes Ademir Domingos, Omar Andres Carmona Cortes, Fábio Manoel França Lobato","doi":"10.14210/cotb.v13.p266-273","DOIUrl":"https://doi.org/10.14210/cotb.v13.p266-273","url":null,"abstract":"The Deep-emotive v.1 is a CNN that recognizes emotions by thehuman face’s pictures. In this context, the CNN’s structure creationdepends on several hyperparameters, which impact the resultspositively or negatively. The Genetic Algorithm implementationallows us to explore the search space of these hyperparametersto find the best architecture for solving the problem. The definedsearch space is formed by the combination of both the numberof convolutional layers and the fully connected ones, the numberof filters for each layer, the size of filters, the subsampling type,and the number of nodes in the fully connected layer. This paper proposes to improve the Deep-Emotive network with the imple-mentation of Convolutional Neural Networks (CNNs) architectures using Genetic Algorithms. The FER-2013 dataset was chosen toclassify seven emotions by images of facial expressions, as it had the worst performance in the first version of the network, reach-ing an accuracy of 60.71%. This dataset has images with common problems for computer vision algorithms, such as occlusion, im-balance, perspective, noises, as well as images that do not exist in the context of emotions. The experiment’s results indicate thatthe proposed approach can generate a CNN architecture with anaccuracy of 63,84% in the train set and 62,39% in the validationset. Despite a low-performance rate, the experiments indicate thatthe algorithm can generate more adapted individuals who havealready overcome the performance achieved by the first version ofthe network defined empirically. Thus, results show potential forexploitation in environments with more computational resources.","PeriodicalId":375380,"journal":{"name":"Anais do XIII Computer on the Beach - COTB'22","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116405830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nucleus Detection in Cervical Samples Stained With AgNOR AgNOR染色宫颈核检测

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p045-050

João Gustavo Atkinson Amorim, Vinícius Moreno Sanches, Tainee Bottamedi, André Victória Matias, Marco Antônio Martins Cavaco, Alexandre Sherlley Onofre, Fabiana B Botelho Onofre, A. von Wangenheim

引用次数: 0

Metodologia para o uso do Rastreamento Ocular na Avaliação de Afásicos Fluentes em Língua Portuguesa 用眼球追踪评估流利葡萄牙语失语症的方法

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p299-301

Paulo Henrique de Souza†, Alejandro R. G. Ramirez, Maria Isabel d ́Ávila Freitas

引用次数: 0

Abordagem de Simulação de Ruídos para Avaliação do Reconhecimento de Locutores em Ambientes Ruidosos 噪声模拟方法评价噪声环境中说话人的识别

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p259-265

Vinícius Almeida dos Santos, Anita Maria da Rocha Fernandes, Wemerson Delcio Parreira

引用次数: 0

Building a corpus from supermarket reviews in portuguese for document-level Sentiment Analysis 建立一个葡萄牙语超市评论语料库，用于文档级情感分析

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p119-125

Vinícius Takeo Friedrich Kuwaki, Mateus Nepomuceno Ladeira, Matias Giuliano Gutierrez Benitez, Rui Jorge Tramontin Junior

引用次数: 0

A Usability Study on the Perception of Elderly Users Interacting with CAPTCHAs 老年用户与验证码交互感知的可用性研究

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p006-013

Rodrigo Duarte Seabra, Adriana Prest Mattedi, Adriana Moraes de Melo

引用次数: 0

O RevisãoOnline: Plataforma on-line de apoio para a melhora da escrita de textos dissertativo-argumentativos O revisaoonline:在线平台，支持提高论文和论辩文本的写作

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p341-346

Ana Carolina Barreto Linck, Giovani Pacheco Signori, Brenda Leites da Silva, Cleusa Albilia de Almeida, Marcio Bigolin

引用次数: 0

Object Recognition to Support Navigation Systems for Blind in Uncontrolled Environments 在非受控环境下支持盲人导航系统的目标识别

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p274-281

M. Marcon, André Roberto Ortoncelli

{"title":"Object Recognition to Support Navigation Systems for Blind in Uncontrolled Environments","authors":"M. Marcon, André Roberto Ortoncelli","doi":"10.14210/cotb.v13.p274-281","DOIUrl":"https://doi.org/10.14210/cotb.v13.p274-281","url":null,"abstract":"Efficient navigation is a challenge for visually impaired people. Several technologies combine sensors, cameras, or feedback chan-nels to increase the autonomy and mobility of visually impaired people. Still, many existing systems are expensive and complexto a blind person’s needs. This work presents a dataset for indoornavigation purposes with annotated ground-truth representingreal-world situations. We also performed a study on the efficiencyof deep-learning-based approaches on such dataset. These resultsrepresent initial efforts to develop a real-time navigation systemfor visually impaired people in uncontrolled indoor environments.We analyzed the use of video-based object recognition algorithms for the automatic detection of five groups of objects: i) fire extin-guisher; ii) emergency sign; iii) attention sign; iv) internal sign, and v) other. We produced an experimental database with 20 minutesand 6 seconds of videos recorded by a person walking throughthe corridors of the largest building on campus. In addition to thetesting database, other contributions of this work are the study onthe efficiency of five state-of-the-art deep-learning-based models(YOLO-v3, YOLO-v3 tiny, YOLO-v4, YOLO-v4 tiny, and YOLO-v4scaled), achieving results above 82% performance in uncontrolledenvironments, reaching up to 93% with YOLO-v4. It was possible toprocess between 62 and 371 Frames Per Second (FPS) concerning thespeed, being the YOLO-v4 tiny architecture, the fastest one. Codeand dataset available at: https://github.com/ICDI/navigation4blind.","PeriodicalId":375380,"journal":{"name":"Anais do XIII Computer on the Beach - COTB'22","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129318854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Acessibilidade em Jogo Digital via Comandos de Voz para Pessoas com Deficiência Motora 为有运动障碍的人提供数字游戏语音命令

Anais do XIII Computer on the Beach - COTB'22 Pub Date : 2022-07-13 DOI: 10.14210/cotb.v13.p103-110

Matheus De Medeiros Pereira, Lucas Debatin

引用次数: 0