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ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition
2022
IEEE Access
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Convolutional neural networks (CNNs), autoencoders (AEs), and long short-term memory (LSTM) possess complementary modeling capabilities, as CNNs are good at automatic feature extraction, AEs are used for ...
In this article, we propose a DL-based approach for activity recognition with smartphone sensor data, i.e., accelerometer and gyroscope data. ...
.: ConvAE-LSTM: Convolutional Autoencoder LSTM Network for Smartphone-Based HAR
VOLUME 10, 2022 ...
doi:10.1109/access.2022.3140373
fatcat:ulvkuvkwu5aalhlcg2ixq7n2ee