Investigating the Potential of Brain-Computer Interfaces in Controlling Smart Home Devices for Individuals with Mobility Impairments

Patients with spinal cord injuries and other similar conditions experience limited mobility and thus more difficulties with performing certain daily tasks independently. The investigation on the unification of Brain-Computer Interfaces (BCIs) with smart home systems aims to present a substitute method of control that is based on signals from the brain. The investigation one undertakes seeks to unmask the effectiveness, functionality, and shortcomings of BCI-smart home systems in actual social circumstances. Participants consisted of healthy individuals and impaired individuals who performed basic and complex operations using BCI systems. The results demonstrated 85% success for movement-impaired users and 92% for healthy individuals in simple tasks, but the rate decreased for the complex ones due to problems, including cognitive load and signal precision. The approach involved conducting experiments on various BCI paradigms, such as imaging tasks related to motor activities and SSVEP. Research brought to the surface the first inklings towards recognizing BCIs as tools to enhance the levels of autonomy and accessibility in patients with mobility impairments, shaping the ground where such technology will flourish, but more must be done in the field of signal processing, interface design, and hybrid control over multiple modalities before wider adoption of BCIs can be achieved.