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. 2023 Oct 26;23(21):8741. doi: 10.3390/s23218741

Table 17.

Proposed model’s comparison with other studies.

Reference Year Methodology Accuracy
 [36] 2020 YOLOv3-tiny CNN + Face Feature Triangle + Face Feature Vector 94.32%
 [34] 2021 MTCNN+DLIB+LSTM NN 88%
 [30] 2021 Dlib + linear Support Vector Machine 92.5%
 [29] 2022 2s-STGCN 93.4%
This study 2023 Dlib+ 15 layers CNN without data augmentation 96.69%