Reconhecimento da atividade humana usando aprendizagem profunda
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Reconhecimento da atividade humana usando aprendizagem profunda

Reconhecimento da atividade humana usando aprendizagem profunda


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About the Book

A HAR é um domínio de investigação relacionado com a deteção voluntária de actividades diárias realizadas por pessoas com base em dados de séries temporais utilizando sensores. A HAR consiste em vários domínios, como a vigilância, a monitorização de bebés, os cuidados de saúde a idosos e a condução inteligente de automóveis, utilizando diferentes abordagens para resolver problemas de forma eficiente e precisa. Os sistemas HAR tradicionais utilizam sensores portáteis, como unidades de medição inercial (IMU) e sensores de alongamento, para reconhecer a atividade.Esta abordagem apresenta resultados notáveis para actividades básicas do utilizador, como estar sentado, estar de pé e andar. Mas para actividades complexas, como correr, saltar, lutar e balançar, os sistemas HAR baseados em sensores apresentam taxas de erro de classificação mais elevadas devido a erros de leitura dos sensores. Estes erros dos sensores têm os piores resultados de classificação possíveis e reduzem o desempenho global do sistema HAR. Utilizando uma combinação de CNN e LSTM, os dados serão extraídos e processados a partir de vídeos. Neste livro, é proposta uma rede neural convolucional profunda, através da qual são extraídas as características para a recolha dos dados da sequência de entrada (vídeo). Em seguida, a LSTM será utilizada para determinar as relações temporais entre as imagens.


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Product Details
  • ISBN-13: 9786206453956
  • Publisher: KS Omniscriptum Publishing
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Weight: 263 gr
  • ISBN-10: 6206453952
  • Publisher Date: 15 Sep 2023
  • Height: 229 mm
  • No of Pages: 140
  • Spine Width: 8 mm
  • Width: 152 mm


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