利用传感器在环原型平台开发智能传感器系统的数据增强框架

Nils Büscher, Daniel Gis, Johann-Peter Wolff, C. Haubelt
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引用次数: 0

摘要

传感器子系统正变得越来越复杂,因为它们越来越多地承担各种任务,从信号处理到模式识别。这种连续进程的卸载可以降低整个系统的功耗,因为智能手表等应用处理器可以在低功耗模式下花费更多时间。因此,这些传感器子系统的设计和验证变得更加困难和耗时。这一开发过程在很大程度上依赖于可用的合适的传感器信号进行测试。我们提出了一个基于模块化组件的框架,使用预先录制的传感器信号或人工信号生成大量测试,以实现更快、更彻底的开发过程和原型设计。使用最近提出的传感器在环(sensor -in- loop)架构,手头的工作不仅证明了在模拟中离线测试和开发软件的能力,而且还可以在运行时直接在硬件原型上使用增强的传感器信号数据。该框架可用于各种测试和开发设置,以模拟传感器特性,处理步骤和错误。基于三个综合示例,我们展示了所提出的框架能够模拟惯性MEMS传感器中发现的常见错误,生成信号迹线以开发、训练和评估手势识别算法,并模拟预处理步骤,以便在传感器固件中实现之前评估其可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Augmentation Framework for Smart Sensor System Development Using the Sensor-in-the-Loop Prototyping Platform
Sensor subsystems are becoming more complex as they increasingly take on various tasks, from signal processing to pattern recognition. This off-loading of continuous processes can decrease power consumption of the entire system, as the application processor of e.g. a smartwatch can spend more time in low-power modes. The design and validation of these sensor subsystems are thus becoming more difficult and time-consuming. This development process relies heavily on the availability of suitable sensor signals for testing. We propose a modular component-based framework to generate a multitude of tests using either prerecorded sensor signals or artificial signals to allow for a faster and more thorough development process and prototyping.Using the recently proposed Sensor-in-the-Loop architecture, the work at hand demonstrates not only the ability to test and develop the software offline in a simulation, but to also use the augmented sensor signal data directly on the hardware prototype at run-time. The framework can be used in various testing- and development setups to simulate sensor characteristics, processing steps and errors. We show, based on three comprehensive examples, that the proposed framework is able to simulate the common errors found in inertial MEMS sensors, generate signal traces to develop, train, and evaluate gesture recognition algorithms, and simulate pre-processing steps in order to evaluate their feasibility before they are implemented in the sensor firmware.
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