2023/04/10 by Todd Kelsey, Kelsey, Todd
Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Neuroscience and Music Perception #Sleep and Wakefulness Research
paper · pdf · doi:10.48550/arxiv.2304.09858
openalex publication_date 2023/04/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The present study proposes a novel approach to dream recording by combining non-invasive brain-machine interfaces (BMI), thought-typing software, and generative AI-assisted multimodal software. This method aims to sublimate conscious processes into semi-conscious status during REM sleep and produce signals for thought typing. We outline a two-stage process: first, developing multimodal software using generative AI to supplement text streams and generate multimedia content; second, adapting Morse code-based typing to simplify signal requirements and increase typing speed. We address the challenge of non-invasive EEG by suggesting a control system involving a user with an implanted BMI to optimize non-invasive signals. A literature review highlights recent advancements in BMI typing, sublimation of conscious processes, and generative AI's potential in thought typing based on text prompts.