title: A multimodal stress monitoring system with canonical correlation analysis.
abstract: The multimodal stress monitoring headband is proposed for mobile stress management system. It is composed of headband and earplugs. Electroencephalography (EEG), hemoencephalography (HEG) and heart-rate variability (HRV) can be achieved simultaneously in the proposed system for user status estimation. With canonical correlation analysis (CCA) and temporal-kernel CCA (tkCCA) algorithm, those different signals can be combined for maximum correlation. Thanks to the proposed combination algorithm, the accuracy of the proposed system increased up to 19 percentage points than unimodal monitoring system in n-back task.
authors.lastname: Unsoo Ha
authors.lastname: Changhyeon Kim
authors.lastname: Yongsu Lee
authors.lastname: Hyunki Kim
authors.lastname: Taehwan Roh
authors.lastname: Hoi-Jun Yoo
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D004569:Electroencephalography; D064847:Multimodal Imaging; D015999:Multivariate Analysis; D013312:Stress, Physiological