Quantitative Survey of the State of the Art in Sign Language Recognition

Understand

This work presents a meta study covering around 300 published sign language recognition papers with over 400 experimental results.

• It includes most papers between the start of the field in 1983 and 2020.
• Additionally, it covers a fine-grained analysis on over 25 studies that have compared their recognition approaches on RWTH-PHOENIX-Weather 2014, the standard benchmark task of the field.
• Research in the domain of sign language recognition has progressed significantly in the last decade, reaching a point where the task attracts much more attention than ever before.