Cognitive load assessment on Tufts fNIRS dataset
97.89AccuracyProposed CNN LSTM
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Proposed CNN LSTMLayers=CNN and LSTM2024.07 | 97.89 | 97.89 | 67.04 | 97.9 | 97.89 | |
| CNN without LSTM LayersLayers=CNN only2024.07 | 97.4 | 97.4 | 66.38 | 97.4 | 97.4 | |
| k-NN2024.07 | 97.02 | 97.02 | 66.28 | 97.02 | 97.02 | |
| Decision Trees2024.07 | 69.72 | 69.72 | 61.05 | 69.72 | 69.72 | |
| Naïve Bayes2024.07 | 33.73 | 28.59 | 57.12 | 36.71 | 33.73 | |
| Nearest Centroid2024.07 | 33.25 | 32.07 | 58.03 | 33.16 | 33.25 |