Multi-objective optimization for hand posture recognition

作者：

Highlights：

• Common feature extraction methods are tested on a benchmark dataset.

• Experimental results are presented with recognition rate and computational cost.

• A multi-objective analysis and optimization is applied to gesture recognition.

• A real-time gesture recognition system is implemented.

摘要

•Common feature extraction methods are tested on a benchmark dataset.•Experimental results are presented with recognition rate and computational cost.•A multi-objective analysis and optimization is applied to gesture recognition.•A real-time gesture recognition system is implemented.

论文关键词：Sign language,Gesture recognition,Feature selection

论文评审过程：Received 27 February 2017, Revised 17 September 2017, Accepted 18 September 2017, Available online 20 September 2017, Version of Record 13 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.046