Design and performance testing of smart insoles

被引:0
作者
Yuan, Yan [1 ]
Xu, Jinwei [1 ]
Mu, Jingsong [1 ,2 ]
Liu, Xue [2 ]
Wang, Houming [1 ]
Wang, Yong [1 ]
机构
[1] Hefei Univ Technol, Sch Mech Engn, Hefei, Anhui, Peoples R China
[2] Anhui Prov Hosp, Dept Rehabil Med, Hefei, Anhui, Peoples R China
关键词
smart insoles; foot monitoring; pressure distribution; postural information; PLANTAR PRESSURE DISTRIBUTION; GAIT;
D O I
10.1088/1361-6501/adc61c
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Smart insoles enable real-time monitoring of physiological parameters and offer feedback on the health status. This study introduces a foot-monitoring smart insole system that uses flexible sensors and inertial sensor technologies to measure the pressure distribution and foot motion data in five plantar areas. This study involved material selection, structural design, insole fabrication, hardware design, and data analysis. The system prototype underwent thorough performance validation tests, including sensitivity (3.63 mV N-1), linearity error (2.09%), hysteresis error (3.37%), accuracy error (4.6%), repeatability error (5.49%), and response time (3.05 ms). Moreover, to evaluate its applicability in real-world motion monitoring, the system was tested to distinguish between different movement patterns, such as walking, jumping, and running. The results demonstrate the stability and accuracy of the system across all metrics. This technology will significantly impact sports medicine, rehabilitation therapy, and performance optimization.
引用
收藏
页数:12
相关论文
共 23 条
[1]   Validation of a wireless shoe insole for ground reaction force measurement [J].
Burns, Geoffrey T. ;
Zendler, Jessica Deneweth ;
Zernicke, Ronald F. .
JOURNAL OF SPORTS SCIENCES, 2019, 37 (10) :1129-1138
[2]  
Chandel V, 2019, IEEE ENG MED BIO, P3290, DOI [10.1109/EMBC.2019.8857877, 10.1109/embc.2019.8857877]
[3]   Between-day reliability of repeated plantar pressure distribution measurements in a normal population [J].
Gurney, Jason K. ;
Kersting, Uwe G. ;
Rosenbaum, Dieter .
GAIT & POSTURE, 2008, 27 (04) :706-709
[4]  
Hayafune N., 1999, The Foot, V9, P88, DOI DOI 10.1054/FOOT.1999.0518
[5]   Effect of walking speed on gait sub phase durations [J].
Hebenstreit, Felix ;
Leibold, Andreas ;
Krinner, Sebastian ;
Welsch, Goetz ;
Lochmann, Matthias ;
Eskofier, Bjoern M. .
HUMAN MOVEMENT SCIENCE, 2015, 43 :118-124
[6]  
Jiang S., 2017, Gait Analysis of Normal and Pathological Functions
[7]   A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes [J].
Jung, Pyeong-Gook ;
Oh, Sehoon ;
Lim, Gukchan ;
Kong, Kyoungchul .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2014, 136 (01)
[8]  
Kang J., 2022, China Leather, V51, P62, DOI [10.13536/j.cnki.issn1001-6813.2022-012-015, DOI 10.13536/J.CNKI.ISSN1001-6813.2022-012-015]
[9]   Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker [J].
Kim, Shinjune ;
Park, Seongjin ;
Lee, Sangyeob ;
Seo, Sung Hyo ;
Kim, Hyeon Su ;
Cha, Yonghan ;
Kim, Jung-Taek ;
Kim, Jin-Woo ;
Ha, Yong-Chan ;
Yoo, Jun-Il .
SCIENTIFIC REPORTS, 2023, 13 (01)
[10]   A Gait Monitoring System Based on Air Pressure Sensors Embedded in a Shoe [J].
Kong, Kyoungchul ;
Tomizuka, Masayoshi .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2009, 14 (03) :358-370