A Study on Gait Analysis using Moving Silhouettes: Striking a Balance with Simplicity between Feature Generalization and Specificity
Feature selection has been identified as one of the most effective ways to differentiate patterns. Feature generalization and specificity are two major challenging problems that are hard to satisfy at the same time. This study aims to propose a method that makes an attempt to retain both feature generalization and specificity. Simplicity is another factor that we take into account. The proposed model is applied to extract features so as to separate different walkers in motion. Feature selection is performed by extracting silhouettes. Two sets of features, i.e. temporal features and flexibilities, are tested and then eliminated to improve the generalization capability. Experimental result shows that the proposed method achieves a satisfactory result in separating different walkers and tolerating noises. More importantly, it demonstrates well in striking a balance between generalization and specificity with satisfactory simplicity.
gait analysis feature selection flexibility generalizability
Chao-Yi Huang Jong-Chen Chen
Department of Information Management, Chungchou Institute of Technology, Yuanlin, Changhua, Taiwan, Department of Information Management, National Yunlin University of Science & Technology, Touliu, Yu
国际会议
上海
英文
408-412
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）