BCIwiki (bciwiki.com) — According to ISAE-SUPAERO, a study uploaded to bioRxiv on October 5, 2026, tested a usability-oriented semi-dry brain-computer interface (BCI). The source identifies it as a preprint that has not been peer reviewed. The system uses code-modulated visual evoked potentials (c-VEPs), EEG responses elicited by coded visual stimulation, as control signals.
To address visually intrusive stimulation, reliance on wet EEG, and false activations during non-control periods, the system combines low-salience textured stimulation, slow flashing codes, semi-dry EEG acquisition, and asynchronous evidence accumulation for decisions. Thirty participants completed an 11-class keypad typing task on a standard screen. Two identical online typing sessions were separated by a 2-min video-viewing period serving as an explicit idle condition.
The keypad task achieved 99.8% accuracy with 33 s of calibration data and a mean decoding time of 4.3 s. No spurious commands occurred during the tested 2-min idle condition. This finding applies to that short, defined test and does not establish an absence of false activations during longer idle periods.
The researchers then assessed feasibility in virtual reality (VR) through a proof-of-concept shell-game task involving head movements and immersive rendering constraints. Online accuracy in VR reached 100%, with a mean decoding time of 5.6 s. Participants subjectively reported high visual comfort and minimal peripheral distraction in both conditions, although fatigue was higher in VR.
The authors interpret the idle-condition results and VR implementation as supporting further exploration of wearable c-VEP systems for self-paced interaction. They call for evaluation during longer idle periods and in real-world tasks.