Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems
Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems
复制标题
DOI：
10.1109/smc53992.2023.10394117
复制
发表时间：
2023-10
期刊：
影响因子：
--
通讯作者：
Juan José González-España;Lianne Sánchez Rodríguez;Alexander Craik;Sarah Wong;Jeff Feng;J. Contreras-Vidal
中科院分区：
文献类型：
--
作者：
Juan José González-España;Lianne Sánchez Rodríguez;Alexander Craik;Sarah Wong;Jeff Feng;J. Contreras-Vidal
脑机接口（BCI）和物联网（IoT）系统最近被合并以创建BCIOT。大多数早期应用都集中在医疗保健领域，最近则集中在教育、虚拟现实、智能家居和智能汽车等领域。虽然有许多横向发展阶段可以由一个单一的系统来满足，但不存在共同的使能技术或标准。这些挑战在拟议的平台Brain-eNet中得到解决。该技术的开发考虑了BCIOT实时移动的应用所定义的约束空间。预计这将通过提供模块化硬件和软件资源来实现BCIOT系统的开发。提供了该平台实现的两个实例，用于康复的运动意图检测和情感识别系统。
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.