Multi-layer fabric assembly ultra-high sensitivity dynamic anti-crosstalk sensing interactive interface based on secondary-enhanced microstructure for multi-task detection

Abstract

Wearable electronic devices are important interfaces for human motion detection and human–computer interaction. However, the current sensing equipment has low sensitivity and poor crosstalk prevention capability, which cannot meet the demand. Herein, we propose a secondary enhanced electrode fabrication strategy for the preparation of multifunctional sensors. The sensor consists of a top electrode CC@NiAl-LDH with a secondary enhancement structure, the photo-reticulated strain localization films (prslPDMS) as the separator layer, and a bottom electrode silver nanowire layer. The synergistic effect of the prslPDMS and the top electrode sensing layer improves the anti-crosstalk ability and sensitivity of this sensor. Among them, CC@NiAl-LDH is not only used as a material for piezoresistive sensors, but also selected as a key component of TENG due to its excellent triboelectric properties. The structural advantages of prslPDMS and CC@NiAl-LDH as the sensing layer are verified by finite element simulation analysis. The designed sensor boasts an ultra-wide detection range (0–2000 kPa), ultra-high sensitivity (3.9 × 10⁹ kPa⁻¹), and rapid response and recovery times (25/30 ms). In addition, through the integration of machine learning algorithms, a multi-signal recognition system compatible with a variety of signal acquisition and analysis functions was designed, realizing multi-signal, multi-dimensional and high-precision recognition of sign language gestures, with an accuracy rate of more than 93 % for 15 gestures. This represents a significant milestone in the development of human–computer interaction. In addation direction of LDHs is also oriented towards application of NiAl-LDH materials in the field of triboelectric nanogenerators. Preliminary research showed that it has the ability to convert into electrical energy, providing new possibilities for self-powered systems in future wearable devices.