Sign Language Recognition Performance

Isolated Signs:

Data Set Features Method Accuracy
MS-ASL Raw Frames Re-Sign 14.69
DEVISIGN Sparse Coding SVM 64
SMILE Hand Movement + Hand Shape HMM 66.8
DEVISIGN 3D Coordinates iRDML 56.85
CSL Cyberglove Phonological Parameters Fuzzy Decision Tree 91.6
ASLLVD Raw Frames CNN + RNN 91
A3LIS-147 Hand Centroids, non-manual features, hand orientation HMM 48.06
NGT Pose Key-points, Non-Manual Features Stacked LSTMs 80

Continuous Signing:

Data Set Features Method WER
SIGNUM Raw Frames CNN+HMM 7.4
ATIS Raw Frames Search + Rescoring 45.1
RWTH-BOSTON-104 Raw Frames HMM + GMM + Covariance Matrix + LM 17
RWTH-PHOENIX-Weather 2014 Raw Frames CNN-LSTM-HMM 26