How Fatigue Changes Autonomy Use

Project Member(s): Lin, C., Wang, Y.

Funding or Partner Organisation: Lockheed Martin Corporation
Lockheed Martin Corporation

Start year: 2017

Publications:

Almohammadi, A & Wang, Y-K 1970, 'Integrated Connectivity-based Stacking Ensemble Learning with GCNNs for EEG Representation', 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE.
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Nascimben, M, Wang, Y-K, King, J-T, Jung, T-P, Touryan, J, Lance, BJ & Lin, C-T 2022, 'Alpha Correlates of Practice During Mental Preparation for Motor Imagery', IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 1, pp. 146-155.
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Ma, W, Chang, Y-C, Wang, Y-K & Lin, C-T 1970, 'Human-Autonomous Teaming Framework Based on Trust Modelling', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 707-718.
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Rafiei, A & Wang, Y-K 1970, 'Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion', 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 186-192.
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Do, T-TN, Wang, Y-K & Lin, C-T 2021, 'Increase in Brain Effective Connectivity in Multitasking but not in a High-Fatigue State', IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 566-574.
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Aldini, S, Singh, AK, Carmichael, M, Wang, Y-K, Liu, D & Lin, C-T 1970, 'Prediction-Error Negativity to Assess Singularity Avoidance Strategies in Physical Human-Robot Collaboration', 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Xi'an, China, pp. 3241-3247.
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Gorman, C & Wang, Y-K 1970, 'A Closed-Loop AR-based BCI for Real-World System Control', 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 1-7.
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Ming, Y, Pelusi, D, Fang, C-N, Prasad, M, Wang, Y-K, Wu, D & Lin, C-T 2020, 'EEG data analysis with stacked differentiable neural computers', Neural Computing and Applications, vol. 32, no. 12, pp. 7611-7621.
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Lin, C-T, Chiu, C-Y, Singh, AK, King, J-T, Ko, L-W, Lu, Y-C & Wang, Y-K 2019, 'A Wireless Multifunctional SSVEP-Based Brain-Computer Interface Assistive System.', IEEE Trans. Cogn. Dev. Syst., vol. 11, no. 3, pp. 375-383.
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Chuang, C-H, Cao, Z, King, J-T, Wu, B-S, Wang, Y-K & Lin, C-T 2018, 'Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving', Frontiers in Neuroscience, vol. 12, no. MAR, pp. 1-12.
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Lin, C-T, Nascimben, M, King, J-T & Wang, Y-K 2018, 'Task-related EEG and HRV entropy factors under different real-world fatigue scenarios', Neurocomputing, vol. 311, pp. 24-31.
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FOR Codes: Adaptive Agents and Intelligent Robotics, Intelligence, Intelligent robotics, Intelligence, surveillance and space, Emerging Defence Technologies

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.