Article

Deep Learning-Based Human Activity Recognition Using Dilated CNN and LSTM on Video Sequences of Various Actions Dataset

2025-04-15

Abstract excerpt

Human Activity Recognition (HAR) plays a critical role across various fields, including surveillance, healthcare, and robotics, by enabling systems to interpret and respond to human behaviors. In this research, we present an innovative method for HAR that leverages the strengths of Dilated Convolutional Neural Networks (CNNs) integrated with Long Short-Term Memory (LSTM) networks. The proposed architecture achieve...

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Literature Corpus work: 9040f79b-e765-5f8a-945e-f5a3695cc7df
DOI: 10.20944/preprints202504.1120.v1

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