A General Neural and Fuzzy Fusion Engine for Human-Machine Autonomous Systems

Funding: 2018: $121,200
2019: $114,000
2020: $119,392

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

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)
Indian Statistical Institute
Indian Statistical Institute

Start year: 2018

Summary: A neural fuzzy fusion engine for human-machine autonomous systems. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS). The project will develop new techniques to detect covert-state drift, model trustworthiness between humans and machines, and adaptively fuse information under various kinds of uncertainty and trust levels. These techniques will be integrated to produce a general framework to facilitate human-machine interaction and enable better collaborative decisions in HMAS. The outcomes will benefit human-centric automation systems in general and next-generation autonomous vehicles in particular, which will contribute to the Australian economy.

Publications:

Cheng, EJ, Prasad, M, Yang, J, Khanna, P, Chen, B-H, Tao, X, Young, K-Y & Lin, C-T 2020, 'A fast fused part-based model with new deep feature for pedestrian detection and security monitoring', Measurement, vol. 151, pp. 107081-107081.
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Lin, C-T, King, J-T, Chuang, C-H, Ding, W, Chuang, W-Y, Liao, L-D & Wang, Y-K 2020, 'Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements', International Journal of Neural Systems, vol. 30, no. 01, pp. 1950018-1950018.
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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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Cao, Z, Chuang, C-H, King, J-K & Lin, C-T 2019, 'Multi-channel EEG recordings during a sustained-attention driving task', Scientific Data, vol. 6, no. 1, p. 19.
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Cao, Z, Lin, C-T, Ding, W, Chen, M-H, Li, C-T & Su, T-P 2019, 'Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG', IEEE Transactions on Biomedical Engineering, vol. 66, no. 6, pp. 1668-1679.
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Cheng, E-J, Chou, K-P, Rajora, S, Jin, B-H, Tanveer, M, Lin, C-T, Young, K-Y, Lin, W-C & Prasad, M 2019, 'Deep Sparse Representation Classifier for facial recognition and detection system', Pattern Recognition Letters, vol. 125, pp. 71-77.
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Ding, W, Lin, C-T & Cao, Z 2019, 'Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes', IEEE Transactions on Cybernetics, vol. 49, no. 7, pp. 2744-2757.
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Ding, W, Lin, C-T & Cao, Z 2019, 'Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, pp. 2013-2027.
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Do, T-TN, Chuang, C-H, Hsiao, S-J, Lin, C-T & Wang, Y-K 2019, 'Neural Comodulation of Independent Brain Processes Related to Multitasking', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 6, pp. 1160-1169.
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Huang, K, Chuang, C, Wang, Y, Hsieh, C, King, J & Lin, C 2019, 'The effects of different fatigue levels on brain–behavior relationships in driving', Brain and Behavior, vol. 9, no. 12, p. e01379.
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Ko, L-W, Lin, C-T, Lu, Y-C, Bustince, H, Chang, Y-C, Chang, Y, Ferandez, J, Wang, Y-K, Sanz, JA & Pereira Dimuro, G 2019, 'Multimodal Fuzzy Fusion for Enhancing the Motor-Imagery-Based Brain Computer Interface', IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 96-106.
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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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Ming, Y, Ding, W, Pelusi, D, Wu, D, Wang, Y-K, Prasad, M & Lin, C-T 2019, 'Subject adaptation network for EEG data analysis', Applied Soft Computing, vol. 84, pp. 105689-105689.
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Ming, Y, Lin, C-T, Bartlett, SD & Zhang, W-W 2019, 'Quantum topology identification with deep neural networks and quantum walks', npj Computational Materials, vol. 5, no. 1.
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Reddy, TK, Arora, V, Behera, L, Wang, Y-K & Lin, C-T 2019, 'Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns With Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in Brain–Computer Interface (BCI)', IEEE Transactions on Fuzzy Systems, vol. 27, no. 10, pp. 1943-1951.
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Chou, K-P, Prasad, M, Wu, D, Sharma, N, Li, D-L, Lin, Y-F, Blumenstein, M, Lin, W-C & Lin, C-T 2018, 'Robust Feature-Based Automated Multi-View Human Action Recognition System', IEEE Access, vol. 6, pp. 15283-15296.
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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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Ding, W, Lin, C-T & Prasad, M 2018, 'Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI', Expert Systems with Applications, vol. 101, pp. 243-257.
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Lin, C-T, Chiu, T-C, Wang, Y-K, Chuang, C-H & Gramann, K 2018, 'Granger causal connectivity dissociates navigation networks that subserve allocentric and egocentric path integration', Brain Research, vol. 1679, pp. 91-100.
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Lin, C-T, Hsieh, T-Y, Liu, Y-T, Lin, Y-Y, Fang, C-N, Wang, Y-K, Yen, G, Pal, NR & Chuang, C-H 2018, 'Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 950-962.
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Lin, C-T, Huang, C-S, Yang, W-Y, Singh, AK, Chuang, C-H & Wang, Y-K 2018, 'Real-Time EEG Signal Enhancement Using Canonical Correlation Analysis and Gaussian Mixture Clustering', Journal of Healthcare Engineering, vol. 2018, pp. 1-11.
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Lin, C-T, King, J-T, Singh, AK, Gupta, A, Ma, Z, Lin, J-W, Machado, AMC, Appaji, A & Prasad, M 2018, 'Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram', IEEE Access, vol. 6, pp. 26483-26492.
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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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Singh, AK, Chen, H-T, Cheng, Y-F, King, J-T, Ko, L-W, Gramann, K & Lin, C-T 2018, 'Visual Appearance Modulates Prediction Error in Virtual Reality', IEEE Access, vol. 6, pp. 24617-24624.
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Wang, Y-K, Jung, T-P & Lin, C-T 2018, 'Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving', Frontiers in Behavioral Neuroscience, vol. 12, pp. 3-3.
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Wei, C-S, Lin, Y-P, Wang, Y-T, Lin, C-T & Jung, T-P 2018, 'A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection', NeuroImage, vol. 174, pp. 407-419.
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Wei, C-S, Wang, Y-T, Lin, C-T & Jung, T-P 2018, 'Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 2, pp. 400-406.
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FOR Codes: Expanding Knowledge in the Information and Computing Sciences, Expanding Knowledge in Engineering, Application Software Packages (excl. Computer Games), Neural, Evolutionary and Fuzzy Computation, Computer-Human Interaction, Adaptive Agents and Intelligent Robotics, Evolutionary computation, Human-computer interaction, Intelligent robotics, Application software packages

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.