HARNet: automatic recognition of human activity from mobile health data using CNN and transfer learning of LSTM with SVM

Human Activity Recognition (HAR) system is analysing human behaviour using mobile health technology. Mobile Health data (MHEALTH) uses electronic devices to collect data and identify the activity of the patient in real-time. Recordings of 10 patients’ vital signs from various circumstances are inclu...

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Principais autores:	R. Anandha Praba, L. Suganthi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2024-01-01
coleção:	Automatika
Assuntos:	Human Activity Recognition Mobile Health data (MHEALTH) Convolutional Neural Network (CNN) Long Short Term Memory (LSTM) Support Vector machine (SVM) deep learning
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/00051144.2023.2290736
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