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首页> 外文会议>International conference on human-computer interaction;International conference on augmented cognition >Improving BCI Usability as HCI in Ambient Assisted Living System Control
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Improving BCI Usability as HCI in Ambient Assisted Living System Control

机译：在环境辅助生活系统控制中提高作为HCI的BCI可用性

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摘要

Brain Computer Interface (BCI) technology is an alternative/ augmentative communication channel, based on the interpretation of the user's brain activity, who can then interact with the environment without relying on neuromuscular pathways. Such technologies can act as alternative HCI devices towards AAL (Ambient Assisted Living) systems, thus opening their services to people for whom interacting with conventional interfaces could be troublesome, or even not viable. We present here a complete solution for BCI-enabled home automation. The implemented solution is, nonetheless, more general in the approach, since both the realized hardware module and the software infrastructure can handle general bio-potentials. We demonstrate the effectiveness of the solution by restricting the focus to a SSVEP-based, self-paced BCI, featuring calibration-less operation and a subject-independent, "plug&play" approach. The hardware module will be validated and compared against a commercial EEG device; at the same time, the signal processing chain will be presented, introducing a novel method for improving accuracy and immunity to false positives. The results achieved, especially in terms of false positive rate containment (0.26 min~(-1)) significantly improve over the literature.
机译：脑电脑界面（BCI）技术是一种替代/增强通信渠道，基于用户的大脑活动的解释，然后可以在不依赖于神经肌肉途径的情况下与环境相互作用。这种技术可以作为AAL（环境辅助生活）系统的替代HCI设备，从而向其与传统接口交互的人开放服务可能是麻烦的，甚至不可行。我们在这里提供了支持BCI的家用自动化解决方案。尽管如此，实现的解决方案在方法中更一般，因为实现硬件模块和软件基础设施都可以处理一般生物电位。我们通过将焦点限制为基于SSVEP的自定节点BCI的焦点来展示解决方案的有效性，其具有较少的校准操作和独立的“即插即用”方法。硬件模块将被验证并与商业EEG器件进行比较;同时，将呈现信号处理链，引入一种新的方法，用于提高精度和免疫对误报。实现的结果，特别是在假阳性速率容纳（0.26分钟〜（-1））上显着改善了文献。

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