Table 1.
The creative CNN feature-driven approaches in HAR [9].
Fig 1.
Proposed ensemble architecture for video classification.
Fig 2.
Proposed modified AlexNet-3D architecture for video classification.
Fig 3.
Proposed inceptionv3 GoogleNet architecture for video classification.
Table 2.
Comparison with state-of-the-art har models.
Fig 4.
AlexNet confusion matrix.
Table 3.
The alexnet confusion matrix (validation).
Table 4.
Validation statistical analysis of the alexnet model.
Table 5.
Google net (inception v3) confusion matrix (validation).
Table 6.
Googlenet validation statistical analysis.
Table 7.
Performance comparison across different evaluation strategies.
Fig 5.
GoogleNet confusion matrix.
Fig 6.
Accuracy and loss graph for AlexNet.
Fig 7.
Accuracy and loss graph for GoogleNet.
Fig 8.
ROC curves for AlexNet and GoogleNet.
Table 8.
Validation statistical analysis of the ensemble metrics.
Fig 9.
Ensemble modeling results.