BCIwiki (bciwiki.com) — Open-source software now supports the full workflow of non-invasive, EEG-based brain-computer interfaces (BCIs), from signal acquisition to real-time interaction, according to a review by researchers at the University of Science and Technology Beijing and the University of California San Diego, reported in ACM Computing Surveys on September 24, 2026. The review examines the ecosystem along four dimensions: technological foundations, tool taxonomy, scenario adaptation and future evolution.
The authors propose a systematic framework that classifies open-source tools by application area, including healthcare, education and entertainment, and identify technical challenges and opportunities for breakthroughs in the ecosystem.
The review offers developers methods for selecting open-source BCI tools, with the stated aim of speeding the move of BCI technologies from research settings into real-world use. The authors are Zhenzhen Wu, Tzyy-Ping Jung, Wenlong Jiao, Xueguang Xie, Xianglong Wan and Dingna Duan, affiliated with the School of Intelligence Science and Technology and the Key Laboratory for Brain Computer Intelligence and Digital Therapy of Hebei Province at the University of Science and Technology Beijing, and the Swartz Center for Computational Neuroscience at UC San Diego. DOI: 10.1145/3833873.