Recent trends in gesture recognition: how depth data has improved classical approaches

作者：

Highlights：

• State of-the-art on gesture recognition approaches that exploit both RGB and depth data (RGB-D images)

• Analysis of different features

• Analysis of classification methods

• Relation between gesture complexity and features/methodologies suitability

• Comprehensive discussion and future trends of research

摘要

•State of-the-art on gesture recognition approaches that exploit both RGB and depth data (RGB-D images)•Analysis of different features•Analysis of classification methods•Relation between gesture complexity and features/methodologies suitability•Comprehensive discussion and future trends of research

论文关键词：Gesture recognition,RGB-D data,Features extraction,Classification approaches,On-line experiments

论文评审过程：Received 25 May 2015, Revised 5 May 2016, Accepted 6 May 2016, Available online 26 May 2016, Version of Record 10 June 2016.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.05.007