A LabVIEW Based Brain-Computer Interface Application for Controlling a Virtual Robotic Arm Using the P300 Evoked Biopotentials and the EEG Bandpower Rhythms Acquired from the GTEC Unicorn Headset
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-42782-4_12
Reference7 articles.
1. Sutaj, N., Walchshofer, M., Schreiner, L., Turchet, L., Pretl, H., Guger, C.: Evaluating a novel P300-based real-time image ranking BCI. Front. Comput. Sci. 3, 661224 (2021). https://doi.org/10.3389/fcomp.2021.661224
2. Belkacem, A.N., Lakas, A.: A cooperative EEG-based BCI control system for robot–drone interaction. In: 2021 International Wireless Communications and Mobile Computing (IWCMC), pp. 297−302. Harbin City, China (2021). https://doi.org/10.1109/IWCMC51323.2021.9498781
3. Sumi, K., et al.: A cooperative game using the P300 EEG-based brain-computer interface. IntechOpen 10 (2019). https://doi.org/10.5772/intechopen.84621
4. Pruss, E., Prinsen, J., Vrins, A., Ceccato, C., Alimardani, M.: A BCI-controlled robot assistant for navigation and object manipulation in a VR smart home environment. In: Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, SciTePress, pp. 231–237 (2022). https://doi.org/10.5220/0011010800003123
5. Rusanu, O.A.: A brain-computer interface-based simulation of vending machine by the integration between Gtec unicorn EEG headset and labview programming environment using P300 speller and UDP communication. In: Moldovan, L., Gligor, A. (eds.) The 16th International Conference Interdisciplinarity in Engineering. Inter-Eng 2022. Lecture Notes in Networks and Systems, vol. 605. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-22375-4_68
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