Sign Language Processing

Some people with hand disabilities have trouble controlling the computer with a mouse. The goal of our project is to develop an intelligent assistant using sign language recognition to help people with hand disability to navigate the computer without physically manipulating a mouse. We are also trying to increase the accuracy of sign language recognition using an ensemble of multiple models including SPOTER, I3D, and TimeSformer models.