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首页> 外文期刊>Subsurface Sensing Technologies and Applications >Enhanced Auditory Displays for Discriminating Landmines from Clutter Using Electromagnetic Induction Sensors
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Enhanced Auditory Displays for Discriminating Landmines from Clutter Using Electromagnetic Induction Sensors

机译：增强型听觉显示器，可使用电磁感应传感器区分杂波中的地雷

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摘要

Landmine detection is primarily performed using electromagnetic induction (EMI) sensors. These sensors detect the presence of metal and convey the information to the sensor operators via an audio signal. Reduction of false alarms from objects that contain metal but are not landmines, i.e. discrimination, is a challenging problem. Recent work on automated algorithms has shown promise towards reducing false alarm rates of EMI sensors. In this study, the audio signal was modified to encode the presence of metal as well as information regarding mine/ non-mine belief in order to determine whether the additional information enabled operators to better discriminate mines from clutter. Using data collected from real landmines, we experimentally investigated which perceptual dimensions most effectively convey different aspects of the information contained in the sensor response to a listener. Results indicated that the presence of metal (detection) could be coded in the fundamental frequency of the audio signal, and that mineon-mine belief (discrimination), determined using an automated algorithm, could be coded in a separate audio dimension. Operators performed better with this audio coding scheme than one where only metal content information was presented via the fundamental frequency of the audio signal.
机译：地雷探测主要使用电磁感应（EMI）传感器执行。这些传感器检测金属的存在，并通过音频信号将信息传达给传感器操作员。减少包含金属但不是地雷的物体（即歧视）的误报是一个具有挑战性的问题。自动化算法的最新工作显示出有望降低EMI传感器的误报率。在这项研究中，音频信号被修改以编码金属的存在以及有关地雷/非地雷信仰的信息，以确定附加信息是否使操作员能够更好地将地雷与混乱区分开。使用从真实地雷收集的数据，我们实验研究了哪些感知维度最有效地将传感器响应中包含的信息的不同方面传达给听众。结果表明，金属的存在（检测）可以在音频信号的基频中进行编码，而使用自动算法确定的地雷/非地雷信念（识别）可以在单独的音频维度中进行编码。与通过音频信号的基频只显示金属含量信息的音频编码方案相比，运营商的性能更好。

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