posted on 2010-01-01, 00:00authored byFeng-Tso Sun, Cynthia Kuo, Heng-Tze Cheng, Senaka Buthpitiya, Patricia Collins, Martin L Griss
"Continuous stress monitoring may help users better understand
their stress patterns and provide physicians with more reliable data
for interventions. Previously, studies on mental stress detection were limited
to a laboratory environment where participants generally rested in
a sedentary position. However, it is impractical to exclude the effects of
physical activity while developing a pervasive stress monitoring application
for everyday use. The physiological responses caused by mental
stress can be masked by variations due to physical activity.
We present an activity-aware mental stress detection scheme. Electrocardiogram
(ECG), galvanic skin response (GSR), and accelerometer data
were gathered from 20 participants across three activities: sitting, standing,
and walking. For each activity, we gathered baseline physiological
measurements and measurements while users were subjected to mental
stressors. The activity information derived from the accelerometer enabled
us to achieve 92.4% accuracy of mental stress classification for
10-fold cross validation and 80.9% accuracy for between-subjects classi-
fication.