Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors

作者：

Highlights：

• We present a methodology for feature extraction in Brazilian Sign Language (BSL).

• We investigate relation between extracted features and structural elements in BSL.

• We obtain seven vision-based features from the RGB-D images.

• We employ SVM’s to classify signs based on these features and linguistic elements.

摘要

•We present a methodology for feature extraction in Brazilian Sign Language (BSL).•We investigate relation between extracted features and structural elements in BSL.•We obtain seven vision-based features from the RGB-D images.•We employ SVM’s to classify signs based on these features and linguistic elements.

论文关键词：Brazilian Sign Language Recognition,RGB-D sensors,Feature extraction

论文评审过程：Available online 28 May 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.024