Research in automatic analysis of sign language has largely focused on recognizing the
lexical (or citation) form of sign gestures as they appear in continuous signing, and …

Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …

Using a time-lapse image acquired from a CCD camera, we developed a non-contact and
non-invasive device, which could measure both the respiratory and pulse rate …

The lack of a written representation for American sign language (ASL) makes it difficult to do
something as commonplace as looking up an unknown word in a dictionary. The majority of …

We address the problem of American Sign Language fingerspelling recognition “in the wild”,
using videos collected from websites. We introduce the largest data set available so far for …

Sign language is a natural language widely used by Deaf and hard of hearing (DHH)
individuals. Advanced wearables are developed to recognize sign language automatically …

The problem of discovering frequent arrangements of temporal intervals is studied. It is
assumed that the database consists of sequences of events, where an event occurs during a …

I want to thank my advisors Dr. Mitch Marcus and Dr. Martha Palmer for being so generous
with their time and advice during the past four years. I am grateful for the trust they placed in …

This chapter concerns the theoretical and empirical foundations and current progress of the
Digital Interactive Video Exploration and Reflection (DIVER) Project at Stanford University …

A new, linguistically annotated, video database for automatic sign language recognition is
presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several …