Integration of CNN and LSTM networks for behavior feature recognition: an analysis
This study explores an integration model combining convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) for behavior feature recognition. Initially, a straightforward three-dimensional deep CNN structure was introduced for behavior recognition, capturing static and dynami...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Insight Society
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117497/ http://psasir.upm.edu.my/id/eprint/117497/1/117497.pdf |