现代纺织技术2025，Vol.33Issue(3)：126-135,10.DOI:10.19398/j.att.202404021
基于刺绣技术的多模生理传感织物面罩的制备与性能
Preparation and properties of multi-modal physiological sensing fabric masks based on embroidery technology
摘要
Abstract
Currently,emotion recognition technology is gaining significant attention in virtual reality(VR)applications.By recognizing the emotional state of users in a VR environment,systems can adjust virtual scenes and interaction modes in real-time,providing a more personalized and immersive experience.However,traditional emotion recognition technologies often rely on a single physiological signal,such as an EEG(electroencephalogram),leading to insufficient accuracy and comprehensiveness in emotion recognition.This poses challenges for meeting the demands of emotional interaction of users in VR environments.Consequently,research on utilizing wearable devices to collect multimodal physiological signals and using AI methods for emotion recognition has attracted considerable interest in the industry,becoming a new research hotspot. However,current wearable devices have not yet effectively achieved simultaneous acquisition of multiple physiological signals.Traditional rigid wet electrodes pose certain issues in smart wearable applications.Specifically,for the simultaneous collection of multiple physiological signals,current devices require a plethora of dangling wires and individually set electrodes,a process that is not only cumbersome but also detracts from the overall aesthetics.Furthermore,wet electrodes typically utilize Ag/AgCl as the base electrode material and employ conductive gel or paste as the medium for contact between the electrode and skin.The use of conductive paste may lead to short circuits between electrodes,causing signal overlap or interference from adjacent electrodes,thereby affecting the accuracy of the test results.Over time,conductive paste tends to dry out,evaporate,or leak,increasing the electrode-skin contact impedance and reducing the quality and stability of signal acquisition,which is unfavorable for long-term monitoring.Additionally,the components of conductive paste may cause discomfort and allergic reactions in subjects,limiting the comfort and safety of physiological signal recording.Therefore,developing a flexible wearable electronic fabric capable of simultaneously collecting multiple physiological signals has significant practical application value for long-term physiological signal monitoring. This study integrates electrode and circuit layers into fabric using embroidery technology,achieving rapid prototyping of multi-layer electronic textiles.By using cold-press terminals to connect the embroidered circuit with the rigid circuit board,successful heterogeneous integration was achieved,forming a plug-and-play wearable electronic textile system.This system incorporates multiple flexible embroidered electrodes,enabling the simultaneous acquisition of EEG,EOG(electrooculogram),and GSR(galvanic skin response)signals.Experimental results indicated that the contact impedance of rectangular embroidered electrodes with the scalp was approximately 31.99±1.2 kΩ(@10 Hz),within an acceptable range,ensuring high-quality physiological signal acquisition.A 5-hour contact impedance test showed that the impedance of the embroidered electrodes gradually decreased and stabilized,demonstrating better long-term stability compared to wet electrodes.Comparative experiments between embroidered and wet electrodes showed that the time-domain waveform correlation of EEG signals collected by both was higher than 95%,verifying the effectiveness of embroidered electrodes in bioelectrical signal acquisition.Additionally,a series of standard experimental paradigms confirmed the reliability of this system.The 10 Hz α rhythm peaks observed in the eyes-open and eyes-closed resting experiments,the distinct blink peaks in the EOG tests,and the correct extraction of SCR waveforms in the GSR tests further validated the effectiveness and reliability of the multimodal physiological sensing fabric mask integrated with multiple embroidered electrodes in collecting various physiological signals.关键词
刺绣技术/多模传感器/脑电图/眼电图/皮肤电反应Key words
embroidery technology/multi-modal sensors/electroencephalogram(EEG)/electro-oculogram(EOG)/galvanic skin response(GSR)分类
轻工纺织引用本文复制引用
熊帆,樊蒙召,杨朝然,李云飞,郑俊杰,周金利,王晨晓..基于刺绣技术的多模生理传感织物面罩的制备与性能[J].现代纺织技术,2025,33(3):126-135,10.基金项目
中国纺织工业联合会科技指导性项目(2021060) （2021060）
