Abstract Growing interest has been devoted to developing soft sensors capable of detecting mechano‐acoustic signals, as many vital physiological signals manifest as broadband cues beyond quasi‐static regimes. Electrospun nanomeshes (NMs) have emerged as promising candidates due to their lightweight structure, superior flexibility, and efficient mechanoelectrical conversion. However, current NM‐based sensors relying on piezoelectric or triboelectric mechanisms suffer from non‐flat frequency responses, nonlinear sensitivities, and large form factors. Here, a soft polyvinylidene fluoride (PVDF) NM‐based capacitive sensor is presented that overcomes these limitations. Distinct from conventional NM designs, the PVDF NM functions as the diaphragm in a capacitive sensor, self‐generating the bias voltage required for its operation. This capacitive architecture enables substantial miniaturization, while the porous NM structure improves air permeability and reduces air damping. The resulting sensor delivers a flat frequency response (80–3000 Hz), high linear sensitivity (313 mV g −1 ), and an ultracompact size (0.25 cm 2 ), offering exceptional performance across key metrics. Its soft, skin‐conformal design allows seamless adhesion to the neck for accurate detection of broadband physiological signals—including voice and coughs—positioning it as a promising platform for voice‐driven IoT, human–machine interfaces, and mobile healthcare.
Lee et al. (Thu,) studied this question.