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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Detalles Bibliográficos
Autores principales: Su, Ruiliang, Chen, Xiang, Cao, Shuai, Zhang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732133/
https://www.ncbi.nlm.nih.gov/pubmed/26784195
http://dx.doi.org/10.3390/s16010100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732133/
https://www.ncbi.nlm.nih.gov/pubmed/26784195
http://dx.doi.org/10.3390/s16010100

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