Developing successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

Sign language datasets are essential to developing many sign language technologies. In
particular, datasets are required for training artificial intelligence (AI) and machine learning …

Sign languages are used as a primary language by approximately 70 million D/deaf people
world-wide. However, most communication technologies operate in spoken and written …

Prior work on creativity support tools demonstrates how a computational semantic model of
a solution space can enable interventions that substantially improve the number, quality and …

The development of accurate machine learning models for sign languages like American
Sign Language (ASL) has the potential to break down communication barriers for deaf …

Searching for the meaning of an unfamiliar sign-language word in a dictionary is difficult for
learners, but emerging sign-recognition technology will soon enable users to search by …

Inadequate sign language data currently impedes advancement of sign language ML and
AI. Training on existing datasets results in limited models due to small size, and lack of …

Researchers have investigated various methods to help users search for the meaning of an
unfamiliar word in American Sign Language (ASL). Some are based on sign-recognition …

Advances in sign-language recognition technology have enabled researchers to investigate
various methods that can assist users in searching for an unfamiliar sign in ASL using sign …

In recent years, remote collaboration has become increasingly common both in the
workplace and in the classroom. It is imperative that we understand and support remote …