Conclusion - Vishant1700/Sign-Language-Recognition GitHub Wiki

Automatic analysis of SL gestures has come a long way from its initial beginnings in merely classifying static signs and alphabets. Current work can successfully deal with dynamic signs which involve movement and which appear in continuous sequences. Much attention has also been focused on building large vocabulary recognition systems.In this respect, vision-based systems lag behind those that acquire gesture data with direct-measure devices. Robustness to the image capture environment is also an issue. Two aspects of gesture recognition that have not received much attention are building signer independent recognition systems and addressing the more difficult aspects of signing, such as grammatical inflections and mimetic signs.Furthermore, NMS have received scant attention. Understanding NMS and interpreting them in conjunction with gesture recognition is vital for understanding SL communication.