Biomimetic Triboelectric Acoustic Sensor with Selective Acoustic Sound Detection
발표자
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초록
내용
In recent times, voice-activated HMIs have become increasingly prevalent in our daily lives. However, there are still some shortcomings such as misrecognition of the unintended sounds or failure to recognize the intended acoustic command. To overcome these limitations, we propose triboelectric acoustic sensor working at multiple resonance frequency region with biomimetic micropillar structured ferroelectric composites. By mimicking human cochlear hair cell, tapered micropillar structure can concentrate the dynamic pressure applied to the film. Moreover, the resonance frequency of triboelectric sensor can be tuned by changing the structure of diaphragm attached at the bottom of the acoustic sensor. We demonstrate that the fabricated triboelectric acoustic sensor with tunable resonance frequency accurately differentiates different sound sources and controls robotic hands at intended resonance frequency region. Our frequency tunable HMIs offer potential applications in avatar robot control, virtual reality, and augmented reality.