# Progress in Brain Computer Interfaces: Challenges and Trends

arXiv: https://arxiv.org/abs/1901.03442 · HTML: https://mlsanity.com/paper/1901.03442/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Jan 2019.

## Built on by (most cited first, 13 of 13)

- [UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language](https://mlsanity.com/paper/2307.05355/) (2023)
- [Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data](https://mlsanity.com/paper/2402.03319/) (2024)
- [A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds](https://mlsanity.com/paper/2405.07977/) (2024)
- [A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems](https://mlsanity.com/paper/2402.09448/) (2024)
- [Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper](https://mlsanity.com/paper/2306.03112/) (2023)
- [Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data](https://mlsanity.com/paper/2412.17833/) (2024)
- [Statistical Opportunities in Neuroimaging](https://mlsanity.com/paper/2602.12974/) (2026)
- [Unifying Consciousness and Time to Enhance Artificial Intelligence](https://mlsanity.com/paper/2301.08742/) (2023)
- [SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding](https://mlsanity.com/paper/2503.06437/) (2025)
- [Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System](https://mlsanity.com/paper/2511.07936/) (2025)
- [Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding](https://mlsanity.com/paper/2512.02978/) (2025)
- [Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders](https://mlsanity.com/paper/2606.24394/) (2026)
- [Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space](https://mlsanity.com/paper/2607.22778/) (2026)

## Abstract (arXiv)

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 artificial intelligence. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and nonlinear brain dynamics and related feature extraction and classification challenges. Psycho-neurophysiological phenomena 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 progress in BCI field and highlights critical challenges.