Fuzzy support vector machine-based personalizing method to address the inter-subject variance problem of physiological signals in a driver monitoring system
作者：
Highlights：
• A personalizing method for a driver monitoring system is proposed.
• Personalization is conducted by using small-sized data of a tested subject.
• Fuzzy support vector machine is utilized to assign weights to each datum.
• The method analyzes data distribution to designate the weight.
• The effectiveness of the method was validated by using three classification problems.
摘要
•A personalizing method for a driver monitoring system is proposed.•Personalization is conducted by using small-sized data of a tested subject.•Fuzzy support vector machine is utilized to assign weights to each datum.•The method analyzes data distribution to designate the weight.•The effectiveness of the method was validated by using three classification problems.
论文关键词：Fuzzy support vector machine,Fuzzy membership,Personalization,Physiological signal,Driver monitoring system
论文评审过程：Received 13 November 2018, Revised 24 February 2019, Accepted 8 March 2020, Available online 21 March 2020, Version of Record 30 March 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101843
