References
- Abdulkader, S. N., Atia, A. and Mostafa, M. M. 2015. Brain computer interface: applications and challenges. Egyptian Informativs Journal 16: 213–230.
- Amiri, S., Fazel-Rezai, R. and Asadpour, V. 2013. A review of hybrid brain-computer interface systems. Advances in Human-Computer Interaction 2013: 1–9.
- BenTaher, F., BenAmor, N. and Jallouli, M. 2015. A multimodal wheelchair control system based on EEG signals and eye tracking fusion International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), Madrid, Spain, 2015, pp. 1–8.
- Brunner, C., Blankertz, B., Cincotti, F., Kübler, A., Mattia, D., Miralles, F., Nijholt, A., Otal, B., Salomon, P. and Müller-Putz, G. R. 2014. BNCI Horizon 2020 – “Towards a roadmap for brain/neural computer interaction.” In Stephanidis, C. and Antona, M. (Eds), Universal Access in Human-computer Interaction. Design and Development Methods for Universal Access. UAHCI 2014. Lecture notes in computer science, Vol. 8513. Springer, Greece.
- Chamola, V., Vineet, A., Nayyar, A. and Hossain, E. 2020. Brain-computer interface-based humanoid control: a review. Sensors 20: 3620.
- Chu, T. S., Chua, A. and Secco, E. 2020. A wearable MYO gesture armband controlling sphero BB-8 Robot. High Tech and Innovation Journal 1: 1–8.
- He, S., Zhou, Y., Yu, T., Zhang, R., Huang, Q., Chuai, L., Mustafa, M. U., Gu, Z., Yu, Z. L., Tan, H. and Li, Y. 2020. EEG- and EOG-based asynchronous hybrid BCI: a system integrating a speller, a web browser, an e-mail client, and a file explorer. IEEE Transactions on Neural Systems and Rehabilitation Engineering 28: 519–530.
- Hernandez-Ossa, K. A., Montenegro-Couto, E. H., Longo, B., Bissoli, A., Sime, M. M., Lessa, H. M., Enriquez, I. R., Frizera-Neto, A. and Bastos-Filho, T. 2020. Simulation system of electric-powered wheelchairs for training purposes. Sensors 20: 3565.
- Hernandez-Ossa, K. A., Longo, B., Montenegro-Couto, E., Romero-Laiseca, M. A., Frizera-Neto, A. and Bastos-Filho, T. 2017. Development and pilot test of a virtual reality system for electric powered wheelchair simulation IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada, pp. 2355–2360.
- Jang, G., Kim, J., Lee, S. and Choi, S. 2016. EMG-based continuous control scheme with simple classifier for electric-powered wheelchair. IEEE Transactions on Industrial Electronics 63: 3695–3705.
- Long, J., Li, Y., Wang, H., Yu, T., Pan, J. and Li, F. 2012. A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair. IEEE Transactions on Neural Systems and Rehabilitation Engineering 20: 720–729.
- Nicolas-Alonso, L. F. and GomezGil, J. 2012. Brain computer interfaces: a review. Sensors 12: 1211–1279.
- Pirani, Z., Momin, A., Kadri, A. and Shaikh, A. 2018. Survey of numerous accessible applications for paralysis patients 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, pp. 1965–1969.
- Punsawad, Y., Wongsawat, Y. and Parnichkun, M. 2010. Hybrid EEG-EOG brain-computer interface system for practical machine control Annual International Conference of the IEEE Engineering in Medicine and Biology, Buenos Aires, Argentina, pp. 1360–1363.
- Tello, R. J. M. G., Bissoli, A. L. C., Ferrara, F., Müller, S., Ferreira, A. and Bastos-Filho, T. F. 2015. Development of a human machine interface for control of robotic wheelchair and smart environment. IFAC-Papers Online 48: 136–141.
- Routhier, F., Archambault, P. S., Choukou, M. A., Giesbrecht, E., Lettre, J. and Miller, W. C. 2018. Barriers and facilitators of integrating the miWe immersive wheelchair simulator as a clinical tool for training powered wheelchair-driving skills. Annals of Physical and Rehabilitation Medicine 61: e91.
- Sarabu, A. and Santra, A. K. 2021. Human action recognition in videos using convolution long short-term memory network with spatio-temporal networks. Emerging Science Journal 5: 1–9.
- Šumak, B., Špindler, M., Debeljak, M., Heričko, M. and Pušnik, M. 2019. An empirical evaluation of a hands-free computer interaction for users with motor disabilities. Journal of Biomedical Informatics 96: 1–16.
- Tang, J., Liu, Y., Hu, D. and Zhou, Z. 2018. Towards BCI-actuated smart wheelchair system. Biomedical Engineering Online 17: 111.
- Yang, J., Su, X., Bai, D., Jiang, Y. and Yokoi, H. 2016. Hybrid EEG-EOG system for intelligent prosthesis control based on common spatial pattern algorithmIEEE International Conference on Information and Automation (ICIA), Ningbo, China, pp. 1261–1266.
- Yulianto, E., Indrato, T. W., Nugraha, B. T. M. and Suharyati, S. 2020. Wheelchair for Quadriplegic patient with electromyography signal control wireless. International Journal of Online and Biomedical Engineering 16: 94–115.