Meditation as an effective BCI training protocol for controlling wheeled robots

Background: Brain-Computer Interface (BCI) systems allow the use of electroencephalographic activities to control devices. As such, it can be an important tool for disabled people since using a BCI does not involves any muscular stimulation. Despite its great potential as assistive technology, are yet scarcely available outside scientific contexts. The main reason is that still accurate enough real world situations. In this paper, we investigated if mindfulness meditation help users perform better, particularly on controlling wheeled robots. Controlling robots must seen research issue, take best advantages from Methods: Case-control study with 30 subjects, meditators and non-meditators, who controlled simulated robot system. Results: straight-ahead moves, was 30% faster when by meditators. stop-and-go accuracy 66% while non-meditators’ 27%. rectangular shape also performed better than 40% against 7% non-meditators. Conclusion: results show recommend combining standard training protocols robots.