SBIR Phase I: Low power hardware-software subsystem for intelligent sensory stream analysis

这个小型企业创新研究（SBIR）第1阶段项目将开发一个超低功耗可重构硬件看门狗预处理器，用于识别和处理连续传感数据流中的空间和时间触发签名（感兴趣的事件）。所提出的方法将连续感测和触发签名检测从应用处理器卸载到看门狗。当前的网络物理系统依赖于应用处理器来分析真实的世界现象的连续感觉流以识别触发签名。然而，在应用处理器上的软件中对感觉流的连续监视和分析需要显著的能量预算，特别是对于高容量数据流，使得该方法不适合于电池供电的设备。所提出的看门狗预处理器将有效地处理多个感官模态和时间尺度，将很容易被重新配置为广泛的触发签名，并将消耗最少的能量，允许在能源受限的系统中连续部署。在第一阶段，该模块将通过在连续数据流中执行触发签名检测，通过软件仿真进行验证。该项目的更广泛的影响/商业潜力是在广泛的电池供电的传感设备中实现连续传感应用，包括智能手机、平板电脑和智能手表等个人移动的设备;用于跟踪EKG/EEG和其他生命信号的可穿戴健康监测设备;用于跟踪EKG/EEG和其他生命信号的可穿戴健康监测设备;用于跟踪EKG/EEG和其他生命信号的可穿戴健康监测设备;用于跟踪EKG/EEG和其他生命信号的可穿戴健康监测设备。以及用于监测结构完整性、排放水平、污染物浓度或地震数据的遥感装置。在这些应用中，连续感测触发上下文和位置感知计算或通信，以响应设备中的感官刺激？的环境。如果在超低功耗感官处理的发展中没有巨大的创新，连续感测将仍然是一个利基应用，仅限于具有稳定和充足电源的环境。相比之下，本项目将展示连续传感在移动的和远程环境中的可行性和潜在的广泛部署。为这些和其他应用灵活部署连续传感的能力有可能彻底改变这些市场，并创造全新的和不可预见的应用领域，大大改变网络物理系统与其物理环境交互的程度。

This Small Business Innovation Research (SBIR) Phase 1 project will develop an ultra-low power reconfigurable hardware watchdog preprocessor for identifying and acting upon spatial and temporal trigger signatures (events of interests) in continuous sensory data streams. The proposed approach offloads continuous sensing and trigger signature detection from the application processor to the watchdog. Current cyber-physical systems rely on an application processor to analyze continuous sensory streams of real world phenomena to identify trigger signatures. However, continuous monitoring and analysis of sensory streams in software on an application processor requires a significant energy budget, particularly for high volume data streams, making this approach unsuitable for battery-operated devices. The proposed watchdog preprocessor will effectively process multiple sensory modalities and timescales, will easily be reconfigured for a broad range of trigger signatures, and will consume minimal energy, allowing continuous deployment in energy-constrained systems. During Phase I, the module will be validated via software emulation by performing trigger signature detection in a continuous data stream. It will then be prototyped on an FPGA, connected to a smartphone development board, and tested using real time sensor data input.The broader impact/commercial potential of this project is to enable continuous sensing applications in a wide range of battery-operated sensing devices, including personal mobile devices like smartphones, tablets, and smart watches; wearable health monitoring devices for tracking EKG/EEG and other vital signals; and remote sensing devices for monitoring structural integrity, emission levels, pollutant concentrations, or seismic data. In these applications, continuous sensing triggers context- and location-aware computation or communication in response to sensory stimuli in the device?s environment. Without dramatic innovations in the development of ultra-low power sensory processing, continuous sensing will remain a niche application limited to environments with a stable and plentiful power source. In contrast, this project will demonstrate the viability and potential widespread deployment of continuous sensing in mobile and remote environments. The ability to flexibly deploy continuous sensing for these and other applications has the potential to revolutionize these markets and create entirely new and unforeseen application domains, dramatically altering the extent to which cyber-physical systems can interact with their physical environments.