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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-15 至 2020-06-30

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中文摘要
翻译
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传感器需要通过两个传感场景进行通信的数据量,在这两个场景中,传感器必须始终以高保真的方式运行。在第一种情况下,传感器连续处理信号并提供输出,例如,助听器连续工作,并执行复杂的高保真音频信号处理,但仍由小电池长时间运行。在第二种情况下,该设备检测特定的感觉刺激并对其起作用,例如,检测和识别说话者(人)或单词或句子。通过在宣传和教育方面作出大量努力,这项研究的更广泛影响将得到加强。这些措施包括对K-12学生的拓展,针对少数族裔本科生的研究经验,以及更新的研究生和本科生课程。更具体地说,本研究调查了一种新型的传感器接口电路,它有效地实现了这两种高保真传感场景。它通过在传感器接口体系结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的方法,传统的方法依赖于单独的信号处理设备或替代地将数据发送到云中进行处理。与原接口电路相比,新方法的实现几乎不需要额外的成本和能耗。预计的好处是,总体能耗大大降低,传感器产生的数据量将减少数量级。
英文摘要
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.
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  • 批准号:
    1641556
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.89万
  • 财政年份:
    2016
  • 负责人:
    Michael Flynn
  • 依托单位:
CIF: Small: Self-Synthesizing Mixed-signal Circuits
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