Brain computer interfacing: Applications and challenges
By Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa. 2015
500 citations recorded by the source corpus.
Abstract Brain computer interface technology represents a highly growing field of research with application systems. Its contributions in medical fields range from prevention to neuronal rehabilitation for serious injuries. Mind reading and remote communication have their unique fingerprint in numerous fields such as educational, self-regulation, production, marketing, security as well as games and entertainment. It creates a mutual understanding between users and the surrounding systems. This paper shows the application areas that could benefit from brain waves in facilitating or achieving their goals. We also discuss major usability and technical challenges that face brain signals utilization in various components of BCI system. Different solutions that aim to limit and decrease their effects have also been reviewed.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/1be8662e4f308d9e967b1cfe66b254ad40c27e9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Bifta Sama Bari
- Sabira Khatun
- Ahmad Fakhri Ab. Nasir
- M. Rashid
- Rabiu Muazu Musa
- Norizam bin Sulaiman
- Anwar P. P. Abdul Majeed
Citations in the corpus
- Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review (2020, background): “The isolating hyperplane is achieved by searching for the projection that maximizes the distance among the classes’ means and minimizes the interclass variance (Abdulkader et al., 2015).”