Mindful Mobility: EEG-Based Brain-Computer Interaction for Elevator Control Using Muse Headset

Brain-Computer Interface (BCI) systems represent an innovative approach to human-computer interaction, enabling users to control devices and interact with technology solely through brain activity. This study investigates the feasibility and potential of non-invasive EEG-based BCI for elevator control, addressing two primary research questions: 1) Can a person reliably control an elevator through a BCI system? and 2) What are the usability and user experience outcomes of such a system? We integrated a Muse headset with a remote-controllable elevator system using an iPhone as the interface over a local network. This setup allowed users to operate the elevator using blinking, jaw clenching, and mental focussing as triggers. Performance, accuracy, and user experience were evaluated through experiments involving 50 participants aged 12 to 60. Usability was measured with the System Usability Scale (SUS) questionnaire along with additional feedback questions. Key findings indicate that the system achieved an average SUS score of 80.3, reflecting excellent usability on the adjective rating scale. Moreover, 94