Neural Network-Enabled Flexible Pressure and Temperature Sensor with Honeycomb-like Architecture for Voice Recognition

Abstract

Flexible pressure sensors have been studied as wearable voice-recognition devices to be utilized in human-machine interaction. However, the development of highly sensitive, skin-attachable, and comfortable sensing devices to achieve clear voice detection remains a considerable challenge. Herein, we present a wearable and flexible pressure and temperature sensor with a sensitive response to vibration, which can accurately recognize the human voice by combing with the artificial neural network. The device consists of a polyethylene terephthalate (PET) printed with a silver electrode, a filament-microstructured polydimethylsiloxane (PDMS) film embedded with single-walled carbon nanotubes and a polyimide (PI) film sputtered with a patterned Ti/Pt thermistor strip. The developed pressure sensor exhibited a pressure sensitivity of 0.398 kPa−1 in the low-pressure regime, and the fabricated temperature sensor shows a desirable temperature coefficient of resistance of 0.13% ∘C in the range of 25 ∘C to 105 ∘C. Through training and testing the neural network model with the waveform data of the sensor obtained from human pronunciation, the vocal fold vibrations of different words can be successfully recognized, and the total recognition accuracy rate can reach 93.4%. Our results suggest that the fabricated sensor has substantial potential for application in the human-computer interface fields, such as voice control, vocal healthcare monitoring, and voice authentication.

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“…Soft acoustic/vibration sensors were also fabricated based on various microstructures including microchannel, [ 90 ] honeycomb‐like microarchitecture, [ 91 ] and micropillar. [ 92 ] A sensor consisting of a laser‐inscribed Au microchannel electrode filled with MXene nanosheets demonstrated remarkable sensitivity and a low detection limit of 9 Pa (Figure 4c).…”

Skin-Like Strain Sensors Based on Multiwalled Carbon Nanotube/Polydimethylsiloxane Composite Films

“…Coating is also a method to give superhydrophobic properties to the surface of materials, such as MWCNT/TPE coating, which has strong repellency to water, acid, and alkali over a wide range of sensing ranges (stretching more than 76%). However, the sensitivity coefficient of the sensor is about 10, which is slightly inadequate for detecting small signals, such as speech pattern recognition. − …”

A General Strategy for Rapidly Optimizing Wearable Resistive Pressure Sensors

“…Resistive pressure sensors have been widely studied benefit from their simple structure, easy signal acquisition, fast response, etc. [15][16][17][18][19][20][21] In these studies, most sensors DOI: 10.1002/aelm.202300201 are prepared with pure conductive sensitive materials, which realize pressure sensing by the conductive path changing caused by the opening and closing of micro/nano-pore structures between nanomaterials under external stimuli. Many inspired achievements have been gained to improve the sensors' performance in each specific application field.…”