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Article summary:

1. Vibrations carry important physical information and have various applications in fields such as healthcare monitoring, earthquake detection, smart devices, and the Internet of Things.

2. Traditional methods of vibration identification rely on complex data acquisition systems and control circuits, resulting in high power consumption. Compressive sensing, combined with spatially encoded structures like random scattering masks and metamaterials, offers a more efficient approach.

3. The authors propose a randomized resonant metamaterial with randomly coupled local resonators for single-sensor identification of elastic vibrations. This metamaterial can produce highly uncorrelated transmissions for different spatial vibrations, allowing for the experimental identification of various vibration events with only a single sensor. Additionally, it can be used as a human-machine interface and has potential applications in smart devices and the Internet of Things.

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