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Large-Area Electronics: A Platform for Next-Generation Human- Computer Interfaces

机译:大面积电子产品:下一代人机界面平台

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摘要

Large-area electronics (LAE) is a compelling platform for developing the next generation of human-computer interfaces (HCIs). These systems aim to provide natural interfaces that do not rely on the user providing active and explicit inputs. Instead, user intentions should be inferred implicitly from our natural interactions with the environment and with each other, in order to derive inputs. This requires a large number of sensors to detect signals from interactions and signal-processing to infer the intentions. LAE is a well-suited technology for creating the sensors, enabling these to be diverse and distributed but also conformal. This eases integration in/on environmental and personal surfaces. In order to address the signal-processing required, as well as the other system functions, we develop hybrid LAE/CMOS architectures, which exploit the complementary strengths of the two technologies. We demonstrate the hybrid architectures in several testbed systems, and focus on two of these as case studies: 1) A source separation system, which uses a large-area microphone array to separate the voice of multiple simultaneous speakers in a room; 2) An electroencephalogram (EEG) acquisition and biomarker-extraction system based on flexible, thin-film electronics.
机译:大面积电子设备(LAE)是用于开发下一代人机界面(HCI)的引人注目的平台。这些系统旨在提供不依赖用户提供主动和明确输入的自然界面。相反,应该从我们与环境以及彼此之间的自然互动中隐含地推断出用户意图,以便获得输入。这需要大量的传感器来检测来自交互作用和信号处理的信号以推断意图。 LAE是用于创建传感器的一种非常适合的技术,它可以使这些传感器既多样化又分布式,但也可以保形。这简化了在环境和个人表面上/内部的集成。为了解决所需的信号处理以及其他系统功能,我们开发了混合LAE / CMOS架构,该架构利用了两种技术的互补优势。我们将在几个测试平台系统中演示混合架构,并重点研究其中两个作为案例研究:1)源分离系统,该系统使用大面积麦克风阵列来分离房间中多个同时说话者的声音; 2)基于柔性薄膜电子设备的脑电图(EEG)采集和生物标志物提取系统。

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