Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition
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DOI: 10.3390/bios12070549
Abstract: Many studies have explored divergent deep neural networks in human activity recognition (HAR) using a single accelerometer sensor. Multiple types of deep neural networks, such as convolutional neural networks (CNN), long short-term memory (LSTM), or… read more here.
Keywords: cnn lstm; orientation invariant; orientation; heuristic features ... See more keywords