Attention Detection System Based on the Variability of Heart Rate

Abstract

Attention is a cognitive and psychobiological variable that lacks objective measures in natural contexts of formal learning. However, it can be objectively measured from the heart autonomic activity. In the present study, the validity and reliability of a system for recording heart rate variability are demonstrated. Twelve prototypes were created and paired with standard electrocardiogram. Long segments with cardiac pulse recordings were used within ten minutes. A highly significant correlation index (p < 0.01) and a significantly high Cronbach's alpha were obtained. In the variance analysis, all data analyzed presented a value of p < 0.05. It is concluded that there is no significant variation between paired systems; therefore, the attention detection system based on heart rate variability is valid and reliable.

Online Learning State Evaluation Method Based on Face Detection and Head Pose Estimation

“…to analyze their level of individual attention. Avila et al [ 1 ] detected the pulse of subjects using an optical heart rate sensor and established 12 pulse templates to match with standard electrocardiograms. Zhang et al [ 2 ] proposed a method for evaluating instantaneous attention through electroencephalography (EEG) and validated the feasibility of predicting sustained attention fluctuations using this method.…”