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

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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Bibliographic Details
Main Authors: R. Anandha Praba, L. Suganthi
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Automatika
Subjects:
Human Activity Recognition
Mobile Health data (MHEALTH)
Convolutional Neural Network (CNN)
Long Short Term Memory (LSTM)
Support Vector machine (SVM)
deep learning
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2023.2290736

Internet

https://www.tandfonline.com/doi/10.1080/00051144.2023.2290736

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