A Practical, Low-Cost, Non-Invasive BMI Integration for Mobility, Sensory Immersion, and Assistive Agency

This paper describes a technical, ethically framed, and implementable blueprint for building low-cost, non-invasive Brain–Machine Interface (BMI) enabled mobility chairs that combine assistive locomotion, immersive motion feedback (a “cinematic” experience), and optional aerial augmentation (drones) to increase autonomy and wellbeing for people with severe motor disabilities. The design prioritizes non-invasive EEG-based input (SSVEP and motor imagery), layered safety and fail-safe autonomy (geofencing, manual override, altitude/velocity limits), and modular open hardware/software stacks (OpenBCI, PX4/ArduPilot, ROS, MNE-Python). We show how discrete, high-reliability commands map into high-level behaviors (navigation primitives, motion cues, sensory augmentation), describe an affordable component list, present system architecture and data flow, outline signal processing and classification choices, and propose staged validation protocols (simulator → tethered → controlled field trials). Ethical, regulatory, and human-factors issues (photosensitive risk of SSVEP stimuli, informed consent, privacy, duty of care) are emphasized. The approach is purposely conservative: it favors dignity and safety over continuous neural teleoperation, enabling immediate, demonstrable benefits while remaining compatible with future clinical and regulatory pathways.