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