Baseline Results

We present baseline results for this year’s challenge using physiological signals, specifically Electrodermal Activity (EDA), Blood Volume Pulse (BVP), Respiration (Resp), and Blood Oxygen Saturation (SpO₂). No preprocessing, filtering, or downsampling was applied  to the signals; instead, raw data were used directly for feature extraction based on simple statistical features. 

A Gaussian SVM (RBF kernel) was trained individually on each modality, as well as on a feature-level fusion of all four. The classification accuracies achieved on the validation and test sets were as follows: 

Set Modality Accuracy

Validation EDA 45.60%

Validation BVP 56.25%

Validation Resp 49.07%

Validation SpO₂ 37.26%

Validation Multimodal 52.77%

Test EDA 38.50%

Test BVP 45.69%

Test Resp 45.68%

Test SpO₂ 36.78%

Test Multimodal 52.30%

The multimodal system was built by concatenating features from all modalities prior to classification. Accuracy was calculated as the proportion of correctly predicted samples across the three pain categories (No_Pain, Low_Pain, High_Pain) out of the total number of validation samples. 

Participants are encouraged to explore different sensor combinations or fusion strategies, as better results may be obtained by leveraging complementary information from subsets of the available modalities. 

** Baseline results for the Test set will be provided on the day that the Test set is released. **