Towards More Accessible Physiological Data for Assessment of Cognitive Load - A Validation Study
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Saeid Nahavandi | Julie Iskander | Mohammed Hossny | Darius Nahavandi | Imali Hettiarachchi | Samer Hanoun
[1] Nigel H. Lovell,et al. Estimating cognitive workload using wavelet entropy-based features during an arithmetic task , 2013, Comput. Biol. Medicine.
[2] Graham Wilson,et al. Psychophysiological assessment of workload in multi-task environments , 2020 .
[3] Saeid Nahavandi,et al. Multiclass EEG data classification using fuzzy systems , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[4] Saeid Nahavandi,et al. Human Perception-Based Washout Filtering Using Genetic Algorithm , 2015, ICONIP.
[5] D. Kahneman,et al. Attention and Effort , 1973 .
[6] Willis J. Tompkins,et al. A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.
[7] Saeid Nahavandi,et al. Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction , 2014, ICONIP.
[8] Julie Iskander,et al. Eye behaviour as a hazard perception measure , 2018, 2018 Annual IEEE International Systems Conference (SysCon).
[9] B. Dolezal,et al. Validity of Seven Commercially Available Heart Rate Monitors , 2002 .
[10] L. Mulder. Measurement and analysis methods of heart rate and respiration for use in applied environments , 1992, Biological Psychology.
[11] A. H. Roscoe. Assessing pilot workload. Why measure heart rate, HRV and respiration? , 1992, Biological Psychology.
[12] Chee Peng Lim,et al. A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[13] Fang Chen,et al. Galvanic skin response (GSR) as an index of cognitive load , 2007, CHI Extended Abstracts.
[14] Jodi Forlizzi,et al. Psycho-physiological measures for assessing cognitive load , 2010, UbiComp.
[15] Saeid Nahavandi,et al. MPC-based motion cueing algorithm with short prediction horizon using exponential weighting , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[16] A. Kramer,et al. Physiological metrics of mental workload: A review of recent progress , 1990, Multiple-task performance.
[17] B. A. Dolezal,et al. Validation of Heart Rate Derived from a Physiological Status Monitor-Embedded Compression Shirt Against Criterion ECG , 2014, Journal of occupational and environmental hygiene.
[18] Chee Peng Lim,et al. Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System , 2018, IEEE Access.
[19] B. Dolezal,et al. Validation of Biofeedback Wearables for Photoplethysmographic Heart Rate Tracking. , 2016, Journal of sports science & medicine.
[20] J M Bland,et al. Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .
[21] F. Paas,et al. Instructional control of cognitive load in the training of complex cognitive tasks , 1994 .
[22] Sang D. Choi,et al. An investigation of myocardial aerobic capacity as a measure of both physical and cognitive workloads , 2005 .
[23] Daniel Guldenring,et al. Validity of heart rate measurements by the Garmin Forerunner 225 at different walking intensities , 2017, Journal of medical engineering & technology.
[24] Chris Berka,et al. Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset , 2004, Int. J. Hum. Comput. Interact..
[25] Saeid Nahavandi,et al. A fresh look at functional link neural network for motor imagery-based brain–computer interface , 2018, Journal of Neuroscience Methods.
[26] F. Paas,et al. Memory load and the cognitive pupillary response in aging. , 2004, Psychophysiology.
[27] Glenn F. Wilson,et al. An Analysis of Mental Workload in Pilots During Flight Using Multiple Psychophysiological Measures , 2002 .
[28] Pavlo D. Antonenko,et al. Using Electroencephalography to Measure Cognitive Load , 2010 .
[29] Saeid Nahavandi,et al. Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.
[30] Saeid Nahavandi,et al. A linear quadratic optimal motion cueing algorithm based on human perception , 2014, ICRA 2014.
[31] Saeid Nahavandi,et al. Current and future methodologies of after action review in simulation-based training , 2018, 2018 Annual IEEE International Systems Conference (SysCon).
[32] Nigel H. Lovell,et al. Beyond Subjective Self-Rating: EEG Signal Classification of Cognitive Workload , 2015, IEEE Transactions on Autonomous Mental Development.