no code implementations • 9 Jun 2021 • Rajdeep Kumar Nath, Himanshu Thapliyal, Travis S. Humble
As a case study, we will investigate the effectiveness of QA-based feature selection techniques in selecting the optimal feature subset for stress detection.
no code implementations • 9 Jun 2021 • Rajdeep Kumar Nath, Himanshu Thapliyal
We have also proposed a blood pressure estimation model using PPG signal and advanced regression techniques for integration with the stress detection model in the wearable health monitoring system.
no code implementations • 8 Jun 2021 • Joseph Clark, Rajdeep Kumar Nath, Himanshu Thapliyal
A total of 42 features were extracted from the data and then expanded into a total of 252 features by grouping the data and taking six statistical measurements of each group for each feature.
no code implementations • 6 Jun 2021 • Rajdeep Kumar Nath, Himanshu Thapliyal
The proposed method for anxiety detection combines features from a single physiological signal with an experimental context-based feature to improve the performance of the anxiety detection model.
no code implementations • 5 Jun 2021 • Rajdeep Kumar Nath, Himanshu Thapliyal, Travis S. Humble
Optimizing the training of a machine learning pipeline helps in reducing training costs and improving model performance.