Deep motion templates and extreme learning machine for sign language recognition

• Published in: The Visual computer Vol. 36; no. 6; pp. 1233 - 1246
• Main Authors: Imran, Javed, Raman, Balasubramanian
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2020; Springer Nature B.V
• Subjects: Accuracy; Artificial Intelligence; Artificial neural networks; Classification; Computer Graphics; Computer Science; Datasets; Deep learning; Human activity recognition; Human motion; Image Processing and Computer Vision; Machine learning; Motion perception; Neural networks; Original Article; Recognition; Sign language; Sign language recognition; Dynamic image; Late fusion; Extreme learning machine; Motion history image; Convolutional neural network

Sign language is a visual language used by persons with hearing and speech impairment to communicate through fingerspellings and body gestures. This paper proposes a framework for automatic sign language recognition without the need of hand segmentation. The proposed method first generates three dif...