Abstract: During the past decade, deep neural networks (DNNs) have been widely deployed to a variety of mobile devices for sensor-based human activity recognition (HAR), where their computational ...
This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
Abstract: The rapid development of emerging technologies has elevated human activity recognition (HAR) into a field with unprecedented capabilities for monitoring and understanding human behaviors ...
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