Continuous Sign Language Recognition

A computer vision task that involves recognizing sign language from continuous, naturally produced signing — as opposed to isolated sign recognition, which identifies individual signs in segmented clips. Continuous sign language recognition deals with the complexities of natural language production including co-articulation (where neighboring signs affect each other's execution), dialectal variation, contextual references, and transitions between signs. CSLR is significantly more challenging than isolated sign recognition and is a prerequisite for practical sign language translation systems. Modern approaches typically use deep learning architectures combining convolutional neural networks with recurrent models.