TY - JOUR
T1 - A porous elastomer with a cavity array for three-dimensional plantar force sensing
AU - Kou, Wenzhe
AU - Liu, Jian
AU - Liu, Jie
AU - Chen, Xinjian
AU - Tang, Xiaoyu
AU - Peng, Tao
AU - Mateen, Muhammad
AU - Liu, Yanyun
AU - Nie, Baoqing
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/10/1
Y1 - 2024/10/1
N2 - Human gait is an important indicator for diagnosis of various movement-related disorders. Three-dimensional (3D) plantar force monitoring enables real-time recording of contact forces in both the normal and tangential directions in each step, providing useful clues for identification of irregular gait patterns or gait-related health issues. Most flexible sensors for gait monitoring focus on contact forces in the normal direction, being limited to detect forces in the tangential direction. Herein we have developed a porous elastomer with a cavity array (PECA) to measure 3D contact forces for gait analysis. The sensor consists of two fabric electrodes and a dielectric layer of porous Ecoflex elastomer containing a 5 × 5 cavity array, forming four parallel-plate capacitor units in a soft construction. Therefore, a 3D force in any arbitrary direction generates four unique capacitive electrical signals. Importantly, the PECA includes a well-designed combination of micrometer-scale pores and millimeter-sized cavities, dramatically improving the detection sensitivity and linear elasticity range. We have demonstrated high sensitivities of 0.41 N−1 and 0.23 N−1 in the normal and tangential directions, respectively. The flexible PECA-based sensors have been tested to sensitively distinguish various standing postures and different stride lengths for gait analysis, promising reliable translation into areas such as healthcare monitoring, sports training, and rehabilitation engineering.
AB - Human gait is an important indicator for diagnosis of various movement-related disorders. Three-dimensional (3D) plantar force monitoring enables real-time recording of contact forces in both the normal and tangential directions in each step, providing useful clues for identification of irregular gait patterns or gait-related health issues. Most flexible sensors for gait monitoring focus on contact forces in the normal direction, being limited to detect forces in the tangential direction. Herein we have developed a porous elastomer with a cavity array (PECA) to measure 3D contact forces for gait analysis. The sensor consists of two fabric electrodes and a dielectric layer of porous Ecoflex elastomer containing a 5 × 5 cavity array, forming four parallel-plate capacitor units in a soft construction. Therefore, a 3D force in any arbitrary direction generates four unique capacitive electrical signals. Importantly, the PECA includes a well-designed combination of micrometer-scale pores and millimeter-sized cavities, dramatically improving the detection sensitivity and linear elasticity range. We have demonstrated high sensitivities of 0.41 N−1 and 0.23 N−1 in the normal and tangential directions, respectively. The flexible PECA-based sensors have been tested to sensitively distinguish various standing postures and different stride lengths for gait analysis, promising reliable translation into areas such as healthcare monitoring, sports training, and rehabilitation engineering.
KW - Gait Analysis
KW - Neural Network
KW - Porous Elastomer
KW - Three-dimensional Force
KW - Wearable Sensor
UR - http://www.scopus.com/inward/record.url?scp=85200824214&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2024.154553
DO - 10.1016/j.cej.2024.154553
M3 - Article
AN - SCOPUS:85200824214
SN - 1385-8947
VL - 497
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 154553
ER -