CCF: Small: Smart Continually-aware High-Fidelity Sensor Interfaces

CCF：小型：智能持续感知高保真传感器接口

• 批准号: 1617319
• 负责人: Michael Flynn
• 金额: $ 49.95万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-15 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1617319&HistoricalAwards=false
• 关键词: CCF; Small; Smart; Continually; aware

This research addresses the challenges of continually-aware high-fidelity sensing. The key challenges include the energy consumption of the sensor interface and the amount of data that needs to be communicated by the sensor by considering two sensing scenarios in which a sensor must be constantly operate with high fidelity. In the first case, the sensor continuously processes a signal and delivers an output, e.g., a hearing aid operating continuously, and performing sophisticated high-fidelity audio signal processing and yet running from a small battery for a long period of time. In the second scenario, the device detects and acts on a particular sensory stimulus, e.g., the detection and recognition of a speaker (person) or words or sentences. The broader impacts of this research will be enhanced with substantial efforts in outreach and education. These include outreach to K-12 students, research experience for undergraduates from underrepresented minorities, and updated graduate and undergraduate curriculum.More specifically, this research investigates a new type of sensor interface circuit that efficiently implements both of these high fidelity sensing scenarios. It does this by embedding sophisticated processing and intelligence within the sensor interface architecture. This approach is different from the conventional approach which relies on separate signal processing devices or alternatively sends data to the cloud for processing. The new approach is implemented with little extra cost and energy consumption, beyond that of the original interface circuit. The expected benefit is that the overall energy consumption is greatly reduced and the amount of data generated by the sensor is to be reduced by orders of magnitude.

这项研究解决了持续感知高保真传感的挑战。关键的挑战包括传感器接口的能量消耗和需要通过考虑两种传感器必须以高保真度持续操作的感测场景来由传感器传送的数据量。在第一种情况下，传感器连续地处理信号并传递输出，例如，助听器连续工作，并执行复杂的高保真音频信号处理，但从一个小电池运行很长一段时间。在第二种情况下，设备检测并作用于特定的感官刺激，例如，说话者（人）或单词或句子的检测和识别。通过大力开展外联和教育，将加强这项研究的广泛影响。这些措施包括推广到K-12学生，研究经验的本科生从代表性不足的少数民族，和更新的研究生和本科课程。更具体地说，本研究探讨了一种新型的传感器接口电路，有效地实现这两个高保真传感方案。它通过在传感器接口架构中嵌入复杂的处理和智能来实现这一点。这种方法不同于传统方法，传统方法依赖于单独的信号处理设备或将数据发送到云端进行处理。新的方法是以很少的额外成本和能源消耗，超出了原来的接口电路。预期的好处是整体能耗大大降低，传感器生成的数据量将减少几个数量级。