MiND: Mind Networked Device Architecture for Attention-Gated Ambient Assisted Living Systems

Abstract

This paper proposes and evaluates an online architecture for network brain–computer interfaced smart home systems for enabling ambient assisted living. This paper uses a number of portable, low-cost, single-channel electroencephalograph systems to achieve Mind Networked Devices (MiND) for home-appliance control, to enable better accessibility for the infirm and people with mobility disability. We tested our approach on real-life hardware toward the control of devices such as lights, fans, and room-temperature conditioning systems, furthermore, we emulated the behavior of the networked hardware for a more substantial number of users on conceptualized scenarios, which will be encountered in implementing this architecture. The Network Simulator 2 simulation results of the large-scale implementation show promising results and give a precise idea about various essential features such as routing protocols, routing configuration, mode of transmission, attenuation losses, and delays incurred during the in-house operation of this architecture. The real-life evaluation of the system also supports the proposed MiND architecture.