Jing Mu
Orcid: 0000-0002-3289-2002Affiliations:
- University of Melbourne, Australia (PhD 2022)
According to our database1,
Jing Mu
authored at least 11 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Evaluation of Optimal Stimuli for SSVEP-Based Augmented Reality Brain-Computer Interfaces.
IEEE Access, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Experimental validation on dual-frequency outperforms single-frequency SSVEP with large numbers of targets within a given frequency range.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Predictive Shared Control of Robotic Arms Using Simulated Brain-Computer Interface Inputs.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
PhD thesis, 2022
Does Real-Time Feedback Improve User Performance in SSVEP-based Brain-Computer Interfaces?
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Multi-Frequency Canonical Correlation Analysis (MFCCA): An Extended Decoding Algorithm for Multi-Frequency SSVEP.
CoRR, 2020
Comparison of Steady-State Visual Evoked Potential (SSVEP) with LCD vs. LED Stimulation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019