Progress in Brain Computer Interface: Challenges and Opportunities

Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa, Ganesh R. Naik, Sam Darvishi, Ahsan H. Khandoker, Mathias Baumert

Research output: Contribution to journalReview articlepeer-review

149 Citations (Scopus)
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Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.

Original languageEnglish
Article number578875
Number of pages20
JournalFrontiers in Systems Neuroscience
Publication statusPublished - 25 Feb 2021


  • brain computer interface
  • cognitive rehabilitation
  • electrical/hemodynamic brain signals
  • hybrid/multimodal BCI
  • neuroimaging techniques
  • neurosensors


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