Objective: This study introduces a proof-of-concept study for connecting people within lucid dreams (LDs) through a specially designed algorithm and an electromyographical (EMG) language. Method: Remmyo, an EMG language developed for LDs, was employed to allow the exchange of four randomly generated words. Custom software translated facial electrical impulses into specific sounds, facilitating communication among seven experienced lucid dreamers via earbuds. The server-side algorithm stored messages and automatically delivered them once participants induced LDs. Results: Across two experimental nights, the group of seven participants induced a total of 18 LDs verified by polysomnography (PSG), and 14 of which (77%) were registered by a server-side algorithm. Six instances (33%) of server-human communication were achieved, including two delayed transfers between participants. In two cases (11%), participants couldn’t correctly repeat the words, while false signals (misperceptions) occurred in four cases (22%). Discussion: The analysis of the results showed that the efficiency of the method could be improved by addressing current software-related limitations. This study demonstrates the potential for communication in LDs, paving the way for real-time interactions and new applications. Challenges include addressing false signals that are elements of a dream to ensure accurate communication.
Raduga et al. (Wed,) studied this question.