Proceedings

Listing by year of publication

2019

Özdenizci, O., Wang, Y., Koike-Akino, T., & Erdoğmuş, D. (2019). Transfer learning in brain-computer interfaces with adversarial variational autoencoders. 2019 9th International IEEE/EMBS Conference on Neural Engineering (pp. 207-210). New York: IEEE. DOI: 10.1109/NER.2019.8716897

2018

Babb, S., Gormley, J., & Light, J., & McNaughton, D. (2018, July).  Applications of video visual scene display technology in a vocational setting. Proceedings of the Rehabilitation Engineering and Assistive Technology Society of North America.

Chapin, S., McNaughton, D., Light, J., McCoy, A., & Caron, J. (2018, July). Effects of video visual scene display technology on the symbolic communicative turns taken by preschoolers with ASD during a shared activity. Proceedings of the Rehabilitation Engineering and Assistive Technology Society of North America.

Gormley, J., & Light, J. (2018, July). Child-parent-provider interactions during medical encounters on an inpatient unit: A preliminary investigation. Proceedings of the Rehabilitation Engineering and Assistive Technology Society of North America.

Mandak, K., Light, J., & McNaughton, D., (2018, July). Dynamic text in visual scene displays: Supporting word reading in a preschooler with ASD. Proceedings of the Rehabilitation Engineering and Assistive Technology Society of North America.

Marghi, Y.M., Gonzalez-Navarro, P., Azari, B., Erdogmus, D. (2018). A parametric EEG signal model for BCIs with Rapid-Trial Sequences. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 118-122). New York, IEEE.

O’Neill, T., Wilkinson, K., & Light, J. (2018, July). Eye-tracking measures reveal how changes in the design of communication technology interfaces influence visual attention patterns by individuals with neurodevelopmental disabilities. Proceedings of the Rehabilitation Engineering and Assistive Technology Society of North America.

Özdenizci, O., Günay, S. Y., Quivira, F., & Erdoğmus, D. (2018). Hierarchical graphical models for context-aware hybrid brain-machine interfaces. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1964-1967). New York: IEEE. DOI: 10.1109/EMBC.2018.8512677

Yazdi, G. E., Nezamfar, H., Moghadamfalahi, M., Akcakaya, M., Shafai, B., & Erdogmus, D. (2018). An adaptive proportional BCI-controller for linear dynamic systems. 2018 World Automation Congress (WAC) (pp. 1-5). New York: IEEE. DOI: 10.23919/WAC.2018.8430486

2017

Fager, S., Gormley, J., & Beukelman, D. (2016, July). Visual cognitive processing demands of ABC and QWERTY onscreen keyboards: A preliminary investigation of individuals with SCI/TBI and typical individuals. Proceedings of the Annual Conference of the Rehabilitation Engineering and Assistive Technology Society of North America, Washington, DC.

Girvent, B., Nezamfar, H., Moghadamfalahi, M., Quivira, F., Ackakaya, M., Erdogmus, D. (2016).  Towards an auditory BCI for binary communication in the ICUProceedings of the 6th International Brain-Computer Interface Meeting (pp. 41) USA. doi: 10.3217/978-3-85125-467-9-41

Gonzalez-Navarro, P., Moghadamfalahi, M. (2016) A kronecker product structured EEG covariance estimator for a language model assisted-BCI.  In D.D. Schmorrow and C.M. Fidopiastis (Eds.): Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (pp. 35-45.) Springer Publishing.  DOI: 10.1007/978-3-319-39955-3 4

Haghighi, M., Moghadamfalahi, M., Nezamfar, H., Akcakaya, M., & Erdogmus, D. (2016). Toward a brain interface for tracking attended auditory sources. Proceedings of the 6th International Brain-Computer Interface Meeting (pp. 39) USA doi: 10.3217/978-3-85125-467-9-39.

Haghighi, M., Moghadamfalahi, M., Nezamfar, H., Akcakaya, M., & Erdogmus, D. (2016). Toward a brain interface for tracking attended auditory sources.  In 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE (pp. 1-5).

Nezamfar, H. Salehi, S., Moghadamfalahi, M. Ten, Pas  A., Sinyukov, D., Orhan, U., Higger, M. Quivira  F. Ackakaya, M.,  Padir, T., Platt, R.J., Erdogmus, D. (2016).  FLashLifeTM:A Context Aware Solution for Everyday Life.  Proceedings of the 6th International Brain-Computer Interface Meeting, (pp.8) USA doi: 10.3217/978-3-85125-467-9-8

Quivira, F., Feng, S., Sinyukov, D., Higger, M., Nezamfar, H., Padir, T., Schirner, G.,  &  Erdogmus, D. (2016). BCI-based Semi-Autonomous Wheelchair Control using a Human-in-the-loop Cyber Physical System Approach .  Proceedings of the 6th International Brain-Computer Interface Meeting, (pp.65) USA, DOI:10.3217/978-3-85125-467-9-65

Salehi, S., Moghadamfalahi, M., Nezamfar, H., & Erdogmus, D. (2016). Context aware recursive Bayesian estimation in BCI for graph navigation. Proceedings of the 6th International Brain-Computer Interface Meeting, (pp.6) USA, DOI:10.3217/978-3-85125-467-9-6

2016

Gonzalez-Navarro, P., Moghadamfalahi, M., Akcakaya, M., & Erdogmus, D. (2016). Error-related potentials for EEG-based typing systems. Proceedings of the 6th International Brain-Computer Interface Meeting, USA, 25. doi:10.3217/978-3-85125-467-9-25

Higger, M., Quivira, F., Moghadamfalahi, M., & Erdogmus, D. (2016). Recursive queries for BCIs: SSVEP shuffle speller. Proceedings of the 6th International Brain-Computer Interface Meeting, USA, 35. doi: 10.3217/978-3-85125-467-9-35

Higger, M.,  Moghadamfalahi, M., Gonzalez-Navarro, P.,  & Erdogmus, D. (2016). Leveraging temporal confusion in P300 spellers. Proceedings of the 6th International Brain-Computer Interface Meeting, USA,11. doi: 10.3217/978-3-85125-467-9-11

Memmott, T., Peters, B., Erdogmus, D., Fried-Oken, M., & Oken, B. (2016). Detecting drowsiness in RSVP keyboard BCI users with SSPI. Proceedings of the 6th International Brain-Computer Interface Meeting, USA, 22. doi: 10.3217/978-3-85125-467-9-22

Moghadamfalahi, M., Sourati, J., Akcakaya, M., Nezamfar, H., Haghighi, M., & Erdogmus, D. (2015). Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface. In Machine Learning for Signal Processing (MLSP), 2015 IEEE 25th International Workshop on (pp. 1-6). IEEE. doi: 10.1109/MLSP.2015.7324369

*Moghadamfalahi, M., Gonzalez-Navarro, P., Akcakaya, M., Orhan, U., & Erdogmus, D. (2015). The effect of limiting trial count in context aware BCIs: A case study with language model assisted spelling. In Foundations of Augmented Cognition (pp. 281-292). Springer International Publishing. doi: 10.1007/978-3-319-20816-9_27

Nezamfar, H., Salehi, S.,  Moghadamfalahi, M., & Erdogmus, D. (2016). FlashTypeTM: A Context Aware, Language Independent Typing System using c-VEP or Eye Tracking. Proceedings of the 6th International Brain-Computer Interface Meeting, USA, 9. doi: 10.3217/978-3-85125-467-9-9

Peters, B., Mooney, A., & Fried-Oken, M. (2016). Communication strategies to involve potential users in BCI research. Proceedings of the 6th International Brain-Computer Interface Meeting, USA, 43. doi: 10.3217/978-3-85125-467-9-43

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