Jul 8, 2020 · The purpose in [13] is to classify the human actions from videos into different classes. The process is performed by extracting interest points ...
Apr 25, 2024 · [Show full abstract] propose a learning approach for human activity recognition in the elderly based on convolutional neural network (LAHAR-CNN) ...
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A recent deep learning-based method and a traditional classifier based hand-crafted feature extractors are used in order to replace the artisanal feature ...
CNN-SVM Learning Approach Based Human Activity Recognition
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Dec 24, 2023 · In this paper, we aim to combine a recent deep learning-based method and a traditional classifier based hand-crafted feature extractors in order ...
Jun 4, 2020 · In this paper, we aim to combine a recent deep learning-based method and a traditional classifier based hand-crafted feature extractors in order ...
In this paper, we aim to combine a recent deep learning-based method and a traditional classifier based hand-crafted feature extractors in order to replace the ...
Dec 19, 2023 · When compared with conventional procedures, the proposed CNN-based HAR analysis provides an exclusive combination of automated learning of ...
The performance of our CNN-based method for multi human activity recognition showed 91.97% accuracy, which outperformed the Support Vector Machine (SVM) ...
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Sep 21, 2022 · Since deep-learning (DL) networks were explored for ... (CNN)-based human activity recognition (HAR) method by exploring suitable hyperparameters.
Apr 18, 2023 · In this paper, we aim to explore two deep learning-based approaches, namely single frame Convolutional Neural Networks (CNNs) and convolutional ...