TY  - JOUR
ID  - Setz_Discriminating_Stress_from_Cognitive_Load_Using_a_Wearable_EDA_Device_2009
T1  - Discriminating Stress from Cognitive Load Using a Wearable EDA Device
A1  - Setz, Cornelia
A1  - Arnrich, Bert
A1  - Schumm, Johannes
A1  - La Marca, Roberto
A1  - Tröster, Gerhard
A1  - Ehlert, Ulrike
JA  - IEEE Transactions on Information Technology in Biomedicine
Y1  - 2010
VL  - 14
IS  - 2
SP  - 410
EP  - 417
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5325784&isnumber=5431105
M2  - doi: 10.1109/TITB.2009.2036164
KW  - arnrich_stress
KW  - SEAT
N2  - The inferred cost of work-related stress call for prevention strategies aiming at detecting early warning signs at the workplace. This work goes one step towards the goal of developing a Personal Health System (PHS) for detecting stress. We analyze the discriminative power of electrodermal activity (EDA) in distinguishing stress from cognitive load in an office environment. A collective of 33 subjects underwent a laboratory intervention that included mild cognitive load and two stress factors which are relevant at the workplace: mental stress
induced by solving arithmetic problems under time pressure and psychosocial stress induced by social-evaluative threat. During the experiments, a wearable device was used to monitor the EDA as a measure of the individual stress reaction. Analysis of the data showed that the distributions of the EDA peak height and the instantaneous peak rate carry information about the stress
level of a person. Six classifiers were investigated regarding their ability to discriminate cognitive load from stress. A maximum accuracy of 82.8% was achieved for discriminating stress from cognitive load. This would allow keeping track of stressful phases during a working day by using a wearable EDA device.
ER  -