Gender classification in smartphones using gait information
作者：
Highlights：
• A novel approach for gender classification in smartphones using gait information.
• Gait information collected from accelerometer and gyroscope sensors is utilized.
• Feature extraction from gait cycles using histogram of gradient descriptor.
• The dataset consists of a total of 654 gait data acquired from 109 subjects.
• Results show that proposed approach provides higher accuracy than existing methods.
摘要
•A novel approach for gender classification in smartphones using gait information.•Gait information collected from accelerometer and gyroscope sensors is utilized.•Feature extraction from gait cycles using histogram of gradient descriptor.•The dataset consists of a total of 654 gait data acquired from 109 subjects.•Results show that proposed approach provides higher accuracy than existing methods.
论文关键词：Gait biometrics,Gender recognition,Accelerometer,Gyroscope,Histogram of gradient
论文评审过程：Received 19 October 2016, Revised 5 October 2017, Accepted 6 October 2017, Available online 9 October 2017, Version of Record 21 October 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.017
