HCSYDec 26, 2014

Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface

arXiv:1412.7932v19 citations
Originality Incremental advance
AI Analysis

This addresses home automation for users with disabilities, but it is incremental as it builds on existing BCI methods.

The paper tackles home automation by developing a brain-computer interface using SSVEP and eye-blink detection, augmented with Bluetooth localization to increase controllable devices, achieving state-of-the-art results in hardware implementation for controlling a table lamp and fan.

In this paper, we present a novel brain computer interface based home automation system using two responses - Steady State Visually Evoked Potential (SSVEP) and the eye-blink artifact, which is augmented by a Bluetooth based indoor localization system, to greatly increase the number of controllable devices. The hardware implementation of this system to control a table lamp and table fan using brain signals has also been discussed and state-of-the-art results have been achieved.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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