4 papers · 1 filter
An Enhanced Source-Free Unsupervised Domain Adaptation Framework for Cross-Dataset EEG Emotion Recognition via Predictive Coding and Test-Time Training
Md Niaz Imtiaz, Naimul Khan
EEG-based emotion recognition is widely used in affective computing but suffers from poor generalization due to domain shifts caused by inter-subject variability, dataset differenc…
Stress Classification from ECG Signals Using Vision Transformer
Zeeshan Ahmad, Naimul Khan
Vision Transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals…
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
Md Niaz Imtiaz, Naimul Khan
Emotion recognition is crucial for advancing mental health, healthcare, and technologies such as brain-computer interfaces. EEG-based models, however, struggle in cross-domain sett…
Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals
Naimul Khan, Md Niaz Imtiaz
R-peak detection is crucial in electrocardiogram (ECG) signal processing as it is the basis of heart rate variability analysis. The Pan-Tompkins algorithm is the most widely used Q…