High-sensitivity sensors in practical applications face
the issue
of environmental noise interference, requiring additional noise reduction
circuits or filtering algorithms to improve the signal-to-noise ratio
(SNR). To address this issue, this study proposes a biomimetic crack
pressure sensor with selective frequency response based on hydrogel
dampers. The core of this research is to construct a biomimetic crack
pressure sensor with selective frequency response using the high-pass
filtering characteristics of gelatin–chitosan hydrogels. This
design, inspired by the slit sensilla and stratum corneum structure
of spider legs, delves into the material properties and principles
of hydrogel dampers, exploring their application in biomimetic crack
pressure sensors, including parameter selection, structural design,
and performance optimization. By delving into the nuanced characteristics
and working principles of hydrogel dampers, their integration in biomimetic
crack pressure sensors is examined, focusing on aspects like parameter
selection, structural engineering, and performance enhancement to
selectively sieve out low-frequency noise and transmit target vibrational
signals. Experimental results demonstrate that this innovative sensor,
while suppressing low-frequency vibration signals, can selectively
detect high-frequency signals with high sensitivity. At different
vibration frequencies, the relative change in resistance exceeds 200%,
and the sensor sensitivity is 7 × 104 kPa–1. Furthermore, this sensor was applied to human voice detection,
and the corresponding results verified its frequency-selective performance
evidently. This study not only proposes a new design for pressure
sensors but also offers fresh insights into the application of biomimetic
crack pressure sensors in intricate environments.