Cognitive Vigilance Assessment and Enhancement

Dr. Hasan Al-Nashash, Dr. Usman Tariq, and Dr. Hasan Mir

Department of Electrical Engineering

Email: [email protected], [email protected], and [email protected]

Motivation

• Extreme high or low cognitive workload in active applications which require attention and vigilance (like airport security, surveillance and driving) can lead to reduction in cognitive efficiency.

Goal

• If vigilance level is measured accurately, it is possible to achieve cognitive enhancement and reach optimum cognitive efficiency by engaging the subject with challenging stimuli or task sharing.

Method

• Eye saccade amplitude, saccade velocity, blink frequency and dynamic of F-theta EEG waves exhibit significant changes due to challenge integration. (p<0.05).

Result

• Eye saccade amplitude, saccade velocity and blink frequency exhibit significant changes due to challenge integration. Dynamics of F-theta EEG waves.
   

Publications

• R. Mahmoud; T. Shanableh; I. Bodala; N. Thakor, H. Al-Nashash, “Novel Classification System for Classifying Cognitive Workload Levels Under Vague Visual Stimulation”, IEEE Sensors Journal, Volume: 17, Issue: 21, pp. 7019 – 7028, Nov. 2017.
• Nida Abbasi, Indu Bodala, Anastasios Bezerianos, Yu Sun, Hasan Al-Nashash, Nitish Thakor, “Role of multisensory stimuli in vigilance enhancement- a single trial event related potential study”, Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2446 – 2449, July 2017.
• I. Bodala, Junhua Li, Nitish Thakor and Hasan Al-Nashash, “EEG and Eye Tracking Demonstrate Vigilance Enhancement with Challenge Integration”, Frontiers Hum Neuroscience, 10: 273, June 2016.
• Salma Zeid, H. Al-Nashash, H. Mir, “Assessment of Vigilance Using EEG Source Localization”, Proceedings of the 2^nd International Conference on Educational Neuroscience March, Abu Dhabi, UAE 2017.
• Indu Bodala, Nida Abbasi, Yu Sun, Anastasios Bezerianos, Hasan Al-Nashash, Nitish Thakor, “Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments”, Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2478 - 2481, July 2017.
• K. Yu, I Prasad, H Mir, N Thakor, Hasan Al-Nashash, “Cognitive Workload Modulation Through Degraded Visual Stimuli: a Single-Trial EEG Study” Journal of Neural Engineering, Vol 12, 9pp, June 2015.
• Junhua Li, Indu Prasad, Justin Dauwels, Nitish V. Thakor, and Hasan AI-Nashash, “Vigilance Differentiation from EEG Complexity Attributes”, ICONIP 2015, Part IV, LNCS 9492, pp. 1–8, 2015, DOI: 10.1007/978-3-319-26561-2 24, November 2015.
• Indu Bodala, Sunil Kukreja, Nitish Thakor, Hasan Al-Nashash, “Eye tracking and EEG synchronization to analyze microsaccades during a workload task” Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 15), Milan, Italy, September 2015.
• Junhua Li, Indu Prasad, Nitish Thakor, and Hasan AI-Nashash, "Workload investigation on degradation of visual stimuli", International Conference on Brain & Health Informatics (BIH'15), London, August 2015.
• K. Yu, H AI-Nashash, N Thakor1, and X Li, “The Analytic Bilinear Discrimination of Single-Trial EEG Signals in Rapid Image Triage”, PLoS ONE, Volume 9, Issue 6, e100097, doi:10.1371/journal.pone.0100097, June 16, 2014.
• Hasan Mir, Indu Prasad Bodala, Ke Yu, Nitish Thakor, Hasan Al-Nashash, “ERP Signal Estimation from Single Trial EEG”, Proc. of the IEEE-EMBC Conference EMBC’14, Chicago, August 2014.
• Indu Prasad Bodala, Ke Yu, Hasan Mir, Nitish Thakor, Hasan Al-Nashash, “Cognitive Workload Estimation due to Vague Visual Stimuli using Saccadic Eye Movements”, Proceedings of the IEEE-EMBC Conference EMBC’14, Chicago, August 2014.
• Indu Prasad Bodala, Hasan Al-Nashash, Yu Ke, Esther Wu Xiu Wen, Hasan Mir, Yen Shih-Cheng, Lim Ziqiang Julian and Nitish Thakor, “Assessment and Enhancement of Cognitive Efficiency”, IEEE Grand Challenges in Life Sciences Conference, Singapore, Dec. 2013.
• Mariam Al-Sagban, Omnia El-Halawani, Tasneem Lulu, Hasan Al-Nashash, and Yousef Al-Assaf, “Brain Computer Interface as a Forensic Tool“, Proceedings of the 5th International Symposium on Mechatronics and Its Applications (ISMA’08), Amman, Jordan, May 27-29, 2008.
• Hania Fayyaz, Hasan Al-Nashash and Yousef Al-Assaf, “Brain Computer Interface Based Prosthesis Control”, Proceedings of the Second International Symposium on Mechatronics (AUS-ISM/05), Sharjah, U.A.E,pp. 88-91, April 2005.