{"title":"A Force Myography (FMG) Armband Based on Micro-Structured Textile-Pressure Sensors for Human-Machine Interface (HMI)","authors":"Rayane Tchantchane, Hao Zhou, Shen Zhang, Gursel Alici","doi":"10.1002/adsr.202500012","DOIUrl":null,"url":null,"abstract":"<p>Wearable pressure sensors for specific applications are in growing demand due to their flexibility, sensitivity, low power consumption, and portability. Flexible capacitive pressure sensors with micro-structured dielectric layers have shown promise in meeting these demands by tuning the dielectric geometry and material properties. Finite Element Analysis (FEA) based on Finite Element Method (FEM) predicts the response of a sensor under various inputs and parameters and hence facilitates the design and development of sensors. By employing FEA, the performance pressure sensors can be predicted based on microstructures. A textile-based capacitive pressure sensor is presented, enhanced with a triangular prism micro-structure in the dielectric layer, improving sensitivity by up to four orders higher than its non-structured counterparts. The sensor demonstrates a remarkable sensitivity of 5.52% kPa<sup>−</sup>¹(0.24–50 kPa), with linearity (R<sup>2</sup> = 0.981), a wide sensing range (0.24–330 kPa), and mechanical stability >1000 cycles. Its use is demonstrated in a 4-channel force myography (FMG) armband, validated across five subjects with an average gesture recognition accuracy of 92% for common hand gestures. The applications of the device are further demonstrated to control a prosthetic hand and operate a game, paving the way for advancements in smart wearable technologies within HMI applications.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 9","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202500012","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Sensor Research","FirstCategoryId":"1085","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/adsr.202500012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Wearable pressure sensors for specific applications are in growing demand due to their flexibility, sensitivity, low power consumption, and portability. Flexible capacitive pressure sensors with micro-structured dielectric layers have shown promise in meeting these demands by tuning the dielectric geometry and material properties. Finite Element Analysis (FEA) based on Finite Element Method (FEM) predicts the response of a sensor under various inputs and parameters and hence facilitates the design and development of sensors. By employing FEA, the performance pressure sensors can be predicted based on microstructures. A textile-based capacitive pressure sensor is presented, enhanced with a triangular prism micro-structure in the dielectric layer, improving sensitivity by up to four orders higher than its non-structured counterparts. The sensor demonstrates a remarkable sensitivity of 5.52% kPa−¹(0.24–50 kPa), with linearity (R2 = 0.981), a wide sensing range (0.24–330 kPa), and mechanical stability >1000 cycles. Its use is demonstrated in a 4-channel force myography (FMG) armband, validated across five subjects with an average gesture recognition accuracy of 92% for common hand gestures. The applications of the device are further demonstrated to control a prosthetic hand and operate a game, paving the way for advancements in smart wearable technologies within HMI applications.