A Footprint Extraction Method for Gait Analysis [一种用于步态分析的足印提取算法]

作者：Ye Q; Xia Y^*; Yao Z

来源：Chinese Journal of Sensors and Actuators, 2018, 31(10): 1559-1565.

DOI：10.3969/j.issn.1004-1699.2018.010.018

• Data clustering
• Footprint segmentation
• Gait analysis
• Plantar pressure data
• Signal processing

For the footprint extraction problem of complex foot movement on a large-area pressure sensitive floor, a multi-stage methodology is proposed to solve the following two main tasks: ① the positioning and segmenting of single footprint from the beginning of on-ground to the end of off-ground, and ② the decomposition of complex footprint into multiple basic footprints. The proposed method consists of the following two stages: the clustering of pressure points that belong to left or right foot and the segmentation of a complex footprint based on the size of on-ground area. Several plantar pressure sequences with different durations are sampled from Tai Chi Chuan gait and the gait of Parkinson disease patients. The proposed method is applied and the results are evaluated by the average accuracy of the aforementioned two different tasks. An overall accuracy of 99.60% for the footprint positioning along time axis and 95.63% for the segmentation of complex footprint are reported in this study.

• 出版日期2018
• 单位安徽大学