Random Forest-Based Recognition of Isolated Sign Language Subwords Using Data from Accelerometers and Surface Electromyographic Sensors

Random Forest-Based Recognition of Isolated Sign Language Subwords Using Data from Accelerometers and Surface Electromyographic Sensors

Sign language recognition (SLR) has been widely used for communication amongst the hearing-impaired and non-verbal community. This paper proposes an accurate and robust SLR framework using an improved decision tree as the base classifier of random forests. This framework was used to recognize Chines...

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Bibliographic Details
Main Authors: Ruiliang Su, Xiang Chen, Shuai Cao, Xu Zhang
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Sensors
Subjects:
sign language recognition
surface electromyography
accelerometer
random forest
Online Access:http://www.mdpi.com/1424-8220/16/1/100

Internet

http://www.mdpi.com/1424-8220/16/1/100

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