A Survey on Brain-Computer Interface and Related Applications
- Authors: Krishna Pai1, Rakhee Kallimani2, Sridhar Iyer3, B. Uma Maheswari4, Rajashri Khanai5, Dattaprasad Torse6
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View Affiliations Hide Affiliations1 Department of Electronics and Communication Engineering, KLE Dr. M.S. Sheshgiri College of Engineering and Technology, Udyambag, Belagavi, KA, India 590008 2 Department of Electronics and Communication Engineering, KLE Dr. M.S. Sheshgiri College of Engineering and Technology, Udyambag, Belagavi, KA, India- 590008 3 Department of Electronics and Communication Engineering, KLE Dr. M.S. Sheshgiri College of Engineering and Technology, Udyambag, Belagavi, KA, India- 590008 4 Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, KA, India- 560035 5 Department of Electronics and Communication Engineering, KLE Dr. M.S. Sheshgiri College of Engineering and Technology, Udyambag, Belagavi, KA, India- 590008 6 Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, KA, India- 560035
- Source: Machine Intelligence for Internet of Medical Things: Applications and Future Trends , pp 210-228
- Publication Date: May 2023
- Language: English
Brain Computer Interface (BCI) systems are able to communicate directly between the brain and computer using neural activity measurements without the involvement of muscle movements. For BCI systems to be widely used by people with severe disabilities, long-term studies of their real-world use are needed, along with effective and feasible dissemination models. In addition, the robustness of the BCI systems' performance should be improved, so they reach the same level of robustness as natural muscle-based health monitoring. In this chapter, we review the recent BCI-related studies, followed by the most relevant applications. We also present the key issues and challenges which exist in regard to the BCI systems and also provide future directions.
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