Automated Detection of Plantar Pressure ROIs based on Multiple Frame Data
(0) Semi-automatic or manual method were usually used to define the region of interest (ROI) of dynamic plantar pressure for foots biomechanical research. However, the existing methods are time-consuming, complicated, or unrepeatable. So, automatic method to extract ROIs is needed. Moreover, spatial adjacency of ROIs in the forefoot put forward the challenge for automatic methods. The objective of this study is to find out an automatic method for defining the ROIs using dynamic plantar pressure information of multiple frames. Twenty subjects were asked to participate in tests. The plantar pressure data and 3D kinematical data were collected. The maximal inter-frame difference during stand phase was calculated. Then the locations of ROIs were determined by using maximal inter-frame difference and priori knowledge about spatial relation of anatomical location of ROIs. Recognition accuracy by using our method was compared with by using Motion Analysis. The results indicated that using interframe difference was able to produce recognition accuracy 100％, 100％, 90％, 100％, 90％, 90％ for halluces and metatarsus I to V, respectively, which had highly agreement with the result of 3D motion capture system. Furthermore, our method is simple and discreet, which could be employed in wider applications.
Z. Y. Mei G. R. Zhao L. Wang
Institute of Biomedical and Health Engineering and Shenzhen Institutes of Advanced Technology,Shenzhen, China
国际会议
2011 International Symposium on Bioelectronics and Bioinformatics(第二届国际生物医学电子学与生物信息学学术会议 ISBB 2011)
苏州
英文
33-36
2011-11-03（万方平台首次上网日期，不代表论文的发表时间）