A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images
(2017)
Journal Article
Ameen, S., & Vadera, S. (2017). A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images. Expert Systems, 34(3), e12197. https://doi.org/10.1111/exsy.12197
Sign language is used by approximately 70 million1 people throughout the world, and an automatic tool for interpreting it could make a major impact on communication between those who use it and those who may not understand it. However, computer inte... Read More about A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images.