Event sensors implement circuits that capture partial functionality of biological sensors, such as the retina and cochlea. As with their biological counterparts, event sensors are drivers of their own output. That is, they produce dynamically sampled binary events to dynamically changing stimuli. Algorithms and networks that process this form of output representation are still in their infancy, but they show strong promise. This article illustrates the unique form of the data produced by the sensors and demonstrates how the properties of these sensor outputs make them useful for power-efficient, low-latency systems working in real time.

中文翻译：

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用于高效感知的事件驱动感知：视觉和听觉算法

事件传感器实现了捕获生物传感器部分功能的电路，例如视网膜和耳蜗。与其生物对应物一样，事件传感器是其自身输出的驱动器。也就是说，它们产生动态采样的二进制事件来动态改变刺激。处理这种输出表示形式的算法和网络仍处于起步阶段，但它们显示出强大的前景。本文说明了传感器产生的数据的独特形式，并展示了这些传感器输出的特性如何使它们对实时工作的节能、低延迟系统有用。