Articles
- V. V. Ovcharenko, M. A. Rudenko, N. V. Larina and A. S. Sivtseva, “Analysis and Assessment of Dynamics of Neurocomputer Performance Measures,” 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2020, pp. 1-5, doi: 10.1109/ICIEAM48468.2020.9111966.
- R. M. S. Parbez and K. A. Mamun, “BlinkFruity: A Real-Time EEG Based Neurofeedback Game for Brain-Computer Interface,” 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), 2020, pp. 404-409, doi: 10.1109/ICAICT51780.2020.9333469.
- Biomedical Signal Processing Using Non-Invasive Sensors for Healthcare
- PERFORMANCE OF OPENBCI EEG BINARY INTENT
CLASSIFICATION WITH LARYNGEAL IMAGERY
- M.G. Mussi, Development of a simultaneous Hybrid Brain-Computer Interface using SSVEP and P300
- Rakhmatulin, I., Parfenov, A., Traylor, Z. et al. Low-cost brain computer interface for everyday use. Exp Brain Res (2021). https://doi.org/10.1007/s00221-021-06231-4
- I. Rakhmatuiln, M. Zhanikeev and A. Parfenov, “Raspberry PI Shield - for measure EEG (PIEEG),” 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 2021, pp. 410-413, doi: 10.1109/ICEECCOT52851.2021.9707969.
- Rácz, M.; Noboa, E.; Détár, B.; Nemes, Á.; Galambos, P.; Szűcs, L.; Márton, G.; Eigner, G.; Haidegger, T. PlatypOUs—A Mobile Robot Platform and Demonstration Tool Supporting STEM Education. Sensors 2022, 22, 2284. https://doi.org/10.3390/s22062284
- C. Piozin et al., “Motion prediction for the sensorimotor control of hand prostheses with a brain-machine interface using EEG,” 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 2022, pp. 1-8, doi: 10.1109/BCI53720.2022.9734823.
- Xugang Cai, Jiahui Pan, “Toward a Brain-Computer Interface- and Internet of Things-Based Smart Ward Collaborative System Using Hybrid Signals”, Journal of Healthcare Engineering, vol. 2022, Article ID 6894392, 13 pages, 2022. https://doi.org/10.1155/2022/6894392
- G. Bernal, N. Hidalgo, C. Russomanno and P. Maes, “Galea: A physiological sensing system for behavioral research in Virtual Environments,” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022, pp. 66-76, doi: 10.1109/VR51125.2022.00024.
- Ihshan Gumilar, Amit Barde, Prasanth Sasikumar, Mark Billinghurst, Ashkan F. Hayati, Gun Lee, Yuda Munarko, Sanjit Singh, and Abdul Momin. 2022. Inter-brain Synchrony and Eye Gaze Direction During Collaboration in VR. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI EA ‘22). Association for Computing Machinery, New York, NY, USA, Article 345, 1–7. https://doi.org/10.1145/3491101.3519746
- Rod Dickinson, Nathan Semertzidis, and Florian Floyd Mueller. 2022. Machine In The Middle: Exploring Dark Patterns of Emotional Human-Computer Integration Through Media Art. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI EA ‘22). Association for Computing Machinery, New York, NY, USA, Article 43, 1–7. https://doi.org/10.1145/3491101.3503555
- Brandon Hernandez, Oscar Morales-Ponce. 2022. A Human-Computer Interface for Hands-Free Musical Accompaniment
- Gashi, S., Min, C., Montanari, A. et al. A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices. Sci Data 9, 537 (2022). https://doi.org/10.1038/s41597-022-01643-5
- S. D. Perur, H. H. Kenchannavar and M. A. Sheikh, “Analysis Of EEG Signals Using Open BCI To Predict The Stress Level,” 2022 IEEE India Council International Subsections Conference (INDISCON), 2022, pp. 1-6, doi: 10.1109/INDISCON54605.2022.9862906.
- A. G. Kremenska, A. K. Lekova and G. P. Dimitrov, “EEG Brain-Computer Interfaces for Internet of Everything (IoE),” 2022 International Conference on Information Technologies (InfoTech), 2022, pp. 1-6, doi: 10.1109/InfoTech55606.2022.9897097.
- E. Ertekin, B. B. Günden, Y. Yilmaz, A. Sayar, T. Çakar and S. Ş. Arslan, “EMG-based BCI for PiCar Mobilization,” 2022 7th International Conference on Computer Science and Engineering (UBMK), 2022, pp. 496-500, doi: 10.1109/UBMK55850.2022.9919502.
- Ertekin, E., Gunden, B. B., Yilmaz, Y., Sayar, A., Cakar, T., & Arslan, S. S. (2022). EMG-based BCI for PiCar Mobilization. 2022 7th International Conference on Computer Science and Engineering (UBMK). https://doi.org/10.1109/ubmk55850.2022.9919502
- Nathan Arthur Semertzidis, Annaelle Li Pin Hiung, Michaela Jayne Vranic-Peters, and Florian ‘Floyd’ Mueller. 2023. Dozer: Towards understanding the design of closed-loop wearables for sleep. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ‘23). Association for Computing Machinery, New York, NY, USA, Article 195, 1–14. https://doi.org/10.1145/3544548.3581044
- M. Borirakarawin and Y. Punsawad, “Hybrid Brain–Computer Interface System Using Auditory Stimulation and Speech Imagination Paradigms for Assistive Technology,” in IEEE Access, vol. 11, pp. 53079-53090, 2023, doi: 10.1109/ACCESS.2023.3280636.)
- Wang, M., Khundrakpam, B. & Vaughan, T. Effects of Electrode Position Targeting in Noninvasive Electromyography Technologies for Finger and Hand Movement Prediction. J. Med. Biol. Eng. (2023). https://doi.org/10.1007/s40846-023-00823-x
- An EEG-based Application for Real-Time Mental State Recognition in Adaptive e-Learning Environment
- Extending wireless wearable EEG device with Single Board Computer for real-time neurofeedback and neuromodulation applications
- Ha, J., Baek, SC., Lim, Y. et al. Validation of cost-efficient EEG experimental setup for neural tracking in an auditory attention task. Sci Rep 13, 22682 (2023). https://doi.org/10.1038/s41598-023-49990-6
Posts
Conferences and Hackathons