Vietnamese sign language reader using Intel Creative Senz3D

Efficient inception V2 based deep convolutional neural network for real‐time hand action recognition

“…Pisharady et al [16] reported a recognition rate of 94.36% with the prediction time of 2.65 s. Ji et al [17] proposed a classifier, which resulted in the recognition accuracy of 97.72%. Nguyen et al [18] achieved 93.89% of accuracy. The authors in [14,17,18] did not report about the computation time.…”

“…Nguyen et al [18] achieved 93.89% of accuracy. The authors in [14,17,18] did not report about the computation time.…”

“…Nguyen et al [18] analysed different techniques such as Gabor filtering, Fisher's discriminant analysis and cosine metric distance method in recognising static gestures. The proposed model achieves 93.89% accuracy for Senz-3D Data set.…”

Precise Recognition of Vision Based Multi-hand Signs Using Deep Single Stage Convolutional Neural Network

“…Nguyen et al [13] proposed numerous techniques for the identification of static gestures. They are Gabor Filter, Fisher's Discriminant Evaluation and Cosine Metric Distance approach.…”

Advanced face and gesture recognition for visual HMI

“…An interactive system using the detection and tracking of the ngertip is presented in [39]. Finally, a solution that is able to recognize the Vietnamese sign language is presented in [40]. on the use of the hand skeletal information, without using the near-infrared imagery due to its distortion.…”