Large-Area Electronics: A Platform for Next-Generation HumanComputer Interfaces

作者：Sanz Robinson Josue^*; Moy Tiffany; Huang Liechao; Rieutort Louis Warren; Hu Yingzhe; Wagner Sigurd; Sturm James C; Verma Naveen

来源：IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2017, 7(1): 38-49.

DOI：10.1109/JETCAS.2016.2620474

• a-Si
• electroencephalogram (EEG)
• human-computer interfaces (HCIs)
• hybrid system
• large-area electronics (LAEs)
• source separation
• TFT

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 largearea 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.

• 出版日期2017-3