Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems.

Juan José González-España, Lianne Sánchez Rodríguez,Alexander Craik, Sarah Wong, Jeff Feng,José Luis Contreras-Vidal

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)（2023）

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摘要

Brain-Computer Interface (BCI) and Internet of Things (IoT) systems have recently been amalgamated to create BCIoT. Most of the early applications have focused on the healthcare sector, and more recently, in education, virtual reality, smart homes, and smart vehicles, amongst others. While there are many transversal developing stages that can be satisfied by a single system, no common enabling technology or standards exist. These challenges are address in the proposed platform, Brain-eNet. This technology was developed considering the constraints-space defined by BCIoT real-time mobile applications. This is expected to enable the development of BCIoT systems by providing modular hardware and software resources. Two instances of this platform implementation are provided, a motor intent detection for rehabilitation and an emotion recognition system.

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关键词

Enabling Technologies,Mobile App,Internet Of Things,Emotion Recognition,Smart Home,Internet Of Things Systems,Motor Intention,Smart Vehicles,Impedance,Usability,Computational Complexity,Support Vector Machine,Low-pass,Denoising,Motor Cortex,Processing Unit,Modularity,Electrodeposition,Independent Component Analysis,Web Application,EEG Signals,Brain-computer Interface System,EEG Electrodes,Serial Peripheral Interface,EEG Channels,Context-aware,Stroke Survivors,Eye Artifacts

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