Joshua Giles
School of Electrical and Electronic Engineering
Research Associate in Brain-Computer Interface
J.Giles@sheffield.ac.uk
Amy Johnson Building
Full contact details
Joshua Giles
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Publications
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Journal articles
- Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface. Scientific Reports, 12. View this article in WRRO
- A transfer learning algorithm to reduce brain-computer interface calibration time for long-term users. Frontiers in Neuroergonomics, 3. View this article in WRRO
Conference proceedings papers
- Weighted transfer learning of dynamic time warped data for motor imagery based brain computer interfaces. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Online conference, 20 July 2020 - 20 July 2020. View this article in WRRO
- A subject-to-subject transfer learning framework based on Jensen-Shannon divergence for improving brain-computer interface. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp 3087-3091). Brighton, UK, 12 May 2019 - 12 May 2019. View this article in WRRO
- Data space adaptation for multiclass motor imagery-based BCI. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp 2004-2007). Honolulu, Hawaii, 18 July 2018 - 18 July 2018. View this article in WRRO
- Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface. Scientific Reports, 12. View this article in WRRO