Gender recognition using optimal gait feature based on recursive feature elimination in normal walking

作者：

Highlights：

• The paper investigates the statistical effect of gender-based differences on gait.

• The paper has focused to analysis gait characteristics in gait sub-phases.

• A novel approach for gender classification is proposed using RFE.

• The paper has the powerful performance for gender classification using SVMRFE.

摘要

•The paper investigates the statistical effect of gender-based differences on gait.•The paper has focused to analysis gait characteristics in gait sub-phases.•A novel approach for gender classification is proposed using RFE.•The paper has the powerful performance for gender classification using SVMRFE.

论文关键词：Gender recognition,Muscle activation,Kinematics,Gait sub-phases,Feature selection

论文评审过程：Received 26 May 2020, Revised 11 August 2021, Accepted 4 October 2021, Available online 25 October 2021, Version of Record 28 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116040