Software-Defined Design of In-shoe Plantar Pressure Measurement Mechanism

被引：0

作者：

Lee, Chao-Hsien ^{[1
]}

Wu, Hsin-Liang ^{[1
]}

机构：

[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan

来源：

2023 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, ICCE | 2023年

关键词：

software-defined; plantar pressure; gait analysis; ground reaction force (GRF); center of pressure (CoP);

D O I：

10.1109/ICCE56470.2023.10043514

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Clinical medicine and rehabilitation recently pay more and more attention to plantar pressure and gait analysis. In addition, plantar pressure and gait analysis can be applied to sports science, customized shoes, etc. Plantar pressure data would be limited to the number of sensors and hardware layout. Increasing the number of sensors and layouting in the dense pattern not only leads to high cost, but also increases the burden of transmission and energy consumption. This paper proposes one softwaredefined adaptive layout for in-shoe plantar pressure measurement. The proposed mechanism can configure the number and location of sensors for different requirements, and then reduces power consumption by 9% in our initial experimental results.

引用

页数：2

共 3 条

[1] Large as being on top of the world and small as hitting the roof: a common magnitude representation for the comparison of emotions and numbers [J].

Baldassi, Giulio ;

Murgia, Mauro ;

Prpic, Valter ;

Rigutti, Sara ;

Domijan, Drazen ;

Agostini, Tiziano ;

Fantoni, Carlo .

PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG, 2021, 85 (03) :1272-1291

[2] Functional Foot Segmentation Based on Plantar Pressure Measurements for Profiling Subjects Performing a Running Exercise [J].

Van Hese, Peter ;

Cabral, Henrique ;

Aerts, Wouter ;

Tsiporkova, Elena .

21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS ICDMW 2021, 2021, :770-777

[3] Optimal Sensor Placement for Estimation of Center of Plantar Pressure Based on the Improved Genetic Algorithms [J].

Xian, Xiaoming ;

Zhou, Zikang ;

Huang, Guowei ;

Nong, Jinjin ;

Liu, Biao ;

Xie, Longhan .

IEEE SENSORS JOURNAL, 2021, 21 (24) :28077-28086

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