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Developing Usable Electronic Devices for Brain-Computer Interfaces
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Author(s): Sakthitharan Maheswari Subramanian (School of Computing, Faculty of Engin, SRM Institute of Science and Technology, India), Mukesh Madanan (Lecturer-Department of Computer Science, Dhofar University, Oman), T. Grace Shalini (SRM Institute of Science and Technology, India), Abdullah Abed Hussein (Al-Manara College for Medical Sciences, Iraq), Jamal K. Abbas (Department of Engineering, Al-Nisour University College, Iraq)and D. N. Murali Krishna Rao (Jawaharlal Nehru Technological University, Hyderabad, India)
Copyright: 2025
Pages: 18
Source title:
Brain-Computer Interfaces and Applications in Business
Source Author(s)/Editor(s): Binay Kumar Pandey (Department of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, India), A.Shaji George (TSM, Almarai Company, Saudi Arabia), Sameer Tiwari (George Mason University, USA), Salah A. Albermany (Kufa University, Iraq)and Ho Sy Hung (Hong Duc University, Vietnam)
DOI: 10.4018/979-8-3373-5122-3.ch002
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Abstract
This study paper's goal is to assess the viability of producing user-friendly electronics with Brain-Computer Interface (BCI)-based technology. The ultimate goal is to improve the site's accessibility as well as the overall user experience. Brain-computer interfaces, or BCIs for short, are devices that allow direct lines of communication to be established between the brain and outside machinery. By doing away with the need for conventional input methods, this is achieved. The main goal of this research is to design and develop electronic devices that use brain-computer interfaces, or BCIs, to facilitate smooth interaction. This is particularly crucial for people who experience mobility issues. The research has brought to light significant issues related to signal accuracy, usability, and real-time responsiveness. The identification of these problems is achieved by analyzing various BCI technologies and integrating them into common devices. These results provide insight into novel approaches to improve device interfaces, intending to improve their usability and ability to adapt.
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