Brain-state drift detection and management for uncertainty estimation and human performance modeling (ACA-BSDD) & related projects

Project Member(s): Lin, C.

Funding or Partner Organisation: US Army Research Lab
US Army Research Lab

Start year: 2016

Summary: Awarded amount in USD, AUD amounts are approximate

Publications:

Cao, Z, Lai, K-L, Lin, C-T, Chuang, C-H, Chou, C-C & Wang, S-J 2018, 'Exploring resting-state EEG complexity before migraine attacks', Cephalalgia, vol. 38, no. 7, pp. 1296-1306.
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Ding, W, Lin, C-T, Chen, S, Zhang, X & Hu, B 2018, 'Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications', Neurocomputing, vol. 272, pp. 136-153.
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Ding, W, Lin, C-T, Prasad, M, Cao, Z & Wang, J 2018, 'A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue', IEEE Transactions on Fuzzy Systems, vol. 26, no. 3, pp. 1177-1191.
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Liang, C, Lin, C-T, Yao, S-N, Chang, W-S, Liu, Y-C & Chen, S-A 2017, 'Visual attention and association: An electroencephalography study in expert designers', Design Studies, vol. 48, pp. 76-95.
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Liu, Y-T, Pal, NR, Marathe, AR, Wang, Y-K & Lin, C-T 2017, 'Fuzzy Decision-Making Fuser (FDMF) for Integrating Human-Machine Autonomous (HMA) Systems with Adaptive Evidence Sources', Frontiers in Neuroscience, vol. 11, no. JUN, pp. 1-10.
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Prasad, M, Lin, C-T, Li, D-L, Hong, C-T, Ding, W-P & Chang, J-Y 2017, 'Soft-Boosted Self-Constructing Neural Fuzzy Inference Network', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 3, pp. 584-588.
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Saxena, A, Prasad, M, Gupta, A, Bharill, N, Patel, OP, Tiwari, A, Er, MJ, Ding, W & Lin, C-T 2017, 'A review of clustering techniques and developments', Neurocomputing, vol. 267, pp. 664-681.
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Yao, S-N, Lin, C-T, King, J-T, Liu, Y-C & Liang, C 2017, 'Learning in the visual association of novice and expert designers', Cognitive Systems Research, vol. 43, pp. 76-88.
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Chiu, C-Y, Singh, AK, Wang, Y-K, King, J-T & Lin, C-T 1970, 'A wireless steady state visually evoked potential-based BCI eating assistive system.', IJCNN, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 3003-3007.
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Cao, Z, Lin, C-T, Chuang, C-H, Lai, K-L, Yang, AC, Fuh, J-L & Wang, S-J 2016, 'Resting-state EEG power and coherence vary between migraine phases', The Journal of Headache and Pain, vol. 17, no. 1.
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Huang, K-C, Huang, T-Y, Chuang, C-H, King, J-T, Wang, Y-K, Lin, C-T & Jung, T-P 2016, 'An EEG-Based Fatigue Detection and Mitigation System', International Journal of Neural Systems, vol. 26, no. 04, pp. 1650018-1650018.
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Yu, Y-H, Chen, S-H, Chang, C-L, Lin, C-T, Hairston, W & Mrozek, R 2016, 'New Flexible Silicone-Based EEG Dry Sensor Material Compositions Exhibiting Improvements in Lifespan, Conductivity, and Reliability', Sensors, vol. 16, no. 11, pp. 1826-1826.
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Liu, Y-T, Wu, S-L, Kuang-Pen Chou, Lin, Y-Y, Jie Lu, Guangquan Zhang, Wen-Chieh Lin & Lin, C-T 1970, 'Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, Canada, pp. 2488-2494.
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Wu, S-L, Liu, Y-T, Kuang-Pen Chou, Lin, Y-Y, Jie Lu, Guangquan Zhang, Chun-Hsiang Chuang, Wen-Chieh Lin & Lin, C-T 1970, 'A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, BC, Canada, pp. 2495-2500.
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FOR Codes: Pattern Recognition and Data Mining, Application Tools and System Utilities, Pattern recognition, Applications in health, Information systems, technologies and services not elsewhere classified

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.