TY  - JOUR
PY  - 2015//
TI  - Investigating the correlation between the neural activity and task performance in a psychomotor vigilance test
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Zhongze Hu, 
A1  - Yu Sun, 
A1  - Lim, Julian
A1  - Thakor, Nitish
A1  - Bezerianos, Anastasios
SP  - 4725
EP  - 4728
VL  - 2015
IS  - 
N2  - Neural activity is known to correlate with decrements in task performance as individuals enter the state of mental fatigue which might lead to lowered productivity and increased safety risks. Incorporating a passive brain computer interface (BCI) technique that detects changes in subject's neural activity and predicts the behavioral performance when the subject is underperforming might be a promising approach to reduce human error in real-world situations. Here, we developed a reliable model using EEG power spectrum to estimate time-on-task performance in a psychomotor vigilance test (PVT) which can fit across individuals. High correlation between the estimated and actual reaction time was achieved. Hence, our results illustrate the feasibility for modeling time-on-task decrements in performance among different individuals from their brainwave activity, with potential applications in several domains, including traffic and industrial safety.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2015.7319449
ID  - ref1
ER  -