Coupled HMM-based multi-sensor data fusion for sign language recognition

详细信息    查看全文

• 作者：Pradeep Kumar ; ^a ; ^{pra14.dcs2014@iitr.ac.in} ; ^{pradeep.iitr7@gmail.com} ; Himaanshu Gauba^a ; Partha Pratim Roy^a ; Debi Prosad Dogra^b
• 关键词：Sign language recognition ; Depth sensors ; Hidden Markov model (Coupled HMM ; HMM) ; Bayesian classification
• 刊名：Pattern Recognition Letters
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：86
• 期：Complete
• 页码：1-8
• 全文大小：2079 K
• 卷排序：86

文摘

A novel multi-sensor framework is proposed for Sign Language Recognition (SLR). The framework recognize dynamic sign words performed by hearing impaired persons. A recognition combination framework using Coupled-HMM (CHMM) is proposed for SLR. Results shows higher accuracy on CHMM over uni-modal and other fusion approaches.