Abstract
Hearing-impaired communities around the world communicate via a sign language. The focus of this work is to develop an interpreting human-robot interaction system that could act as a sign language interpreter in public places. To this end, we utilize a number of technologies including depth cameras (a leap motion sensor and Microsoft Kinect), humanoid robots NAO and Pepper, and deep learning approaches for classification.