集成信号处理和人工智能的传感器智能系统架构

G. Lammel, R. Dorsch, Timo Giesselmann, Jens Goldeck, Jochen Hahn, Nouman Naim Hasan, Juergen Meier, Kaustubh Gandhi
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引用次数: 1

摘要

智能手机、智能手表、可听设备等移动设备越来越依赖MEMS传感器作为用户界面和与物理世界的链接。强大的算法可以检测有意义的特征,并对传感器数据进行分类,比如从运动传感器中计算步数,对不同的体育活动进行分类,检测设备控制的手势,或者为行人导航进行航位推算。为了在执行高性能算法时实现超低功耗,同时保持编程的灵活性,我们在过去几年中为智能传感器系统开发了专门的架构,专注于紧密的硬件/软件协同设计。
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Smart System Architecture for Sensors with Integrated Signal Processing and AI
Mobile devices like smartphones, smartwatches, hearables and others rely more and more on MEMS sensors as user interface and as a link to the physical world. Powerful algorithms can detect meaningful features and classify sensor data, like counting steps from motion sensors, classifying different sport activities, detecting gestures for device control or dead reckoning for pedestrian navigation. In order to achieve ultra-low power consumption in execution of high performance algorithms, while staying flexible in programming, we developed over the last years specialized architectures for smart sensor systems, focusing on close hardware/software co-design.
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