可穿戴计算机
聚二甲基硅氧烷
光纤布拉格光栅
材料科学
弯曲
计算机科学
校准
硅酮
弹性体
生物医学工程
声学
光纤
复合材料
嵌入式系统
医学
电信
物理
统计
数学
作者
Kun Xiao,Zhuo Wang,Yudong Ye,Chuanxin Teng,Rui Min
摘要
This study introduces fiber Bragg grating (FBG) sensors embedded in polydimethylsiloxane (PDMS) silicone elastomer specifically engineered for recognizing intricate gestures like wrist pitch, finger bending, and mouth movement. Sensors with different PDMS patch thicknesses underwent evaluation including thermal, tensile strain, and bending deformation characterization, demonstrating a stability of at least four months. Experiments revealed the FBG sensors' accurate wrist pitch recognition across participants after calibration, confirmed by statistical metrics and Bland-Altman plots. Utilizing finger and mouth movements, the developed system shows promise in assisting post-stroke patients and individuals with disabilities, enhancing their interaction capabilities with the external surroundings.
科研通智能强力驱动
Strongly Powered by AbleSci AI