Title :
Mobile real-time arousal detection
Author :
Alexandratos, Vasileios ; Bulut, Murtaza ; Jasinschi, Radu
Author_Institution :
Dept. of Embedded Syst., Tech. Univ. Delft, Delft, Netherlands
Abstract :
We introduce a mobile system that is able to detect arousal in realtime based on electrocardiogram and electrodermal activity. The system is using an Android smartphone and wearable sensors, which include a smart watch and a heart rate belt that gather skin conductance and heart rate data, respectively. Algorithms for processing the skin conductance and heart rate data, as well as an automated method for labeling the collected `arousal´ and `non-arousal´ experimental data are developed. Small-scale user tests show 84% 10-fold, 83% between-subject, and 68% new-subject arousal detection accuracy.
Keywords :
Android (operating system); cardiology; electrocardiography; medical signal processing; mobile computing; real-time systems; Android smartphone; arousal detection; automated method; electrocardiogram activity; electrodermal activity; heart rate belt; mobile real-time arousal detection; mobile system; skin conductance; smart watch; wearable sensors; Accuracy; Electrocardiography; Heart rate variability; Physiology; Real-time systems; Skin; Stress; arousal; heart rate variability; skin conductance;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854432
