This work presents a new approach to learning a frame-based classifier on weakly labelled
sequence data by embedding a CNN within an iterative EM algorithm. This allows the CNN …

Communications between deaf-mute and a normal person have always been a challenging
task. This paper reviews a different methods adopted to reduce barrier of communication by …

As is widely recognized, sign language recognition is a very challenging visual recognition
problem. In this paper, we propose a feature covariance matrix based serial particle filter for …

In this paper, we propose a block-based histogram of optical flow (BHOF) to generate hand
representation in sign language recognition. Optical flow of the sign language video is …

Abstract In American Sign Language (ASL) as well as other signed languages, different
classes of signs (eg, lexical signs, fingerspelled signs, and classifier constructions) have …

We study the problem of recognition of fingerspelled letter sequences in American Sign
Language in a signer-independent setting. Fingerspelled sequences are both challenging …

This paper investigates a new annotation technique that reduces significantly the amount of
time to annotate training data for gesture recognition. Conventionally, the annotations …

Gestos são ações corporais não-verbais voltadas para a expressão de algum significado.
Estes incluem movimentos de mãos, face, braços, dedos, entre outros, sendo abordados …

We have been studied Japanese sign Language (JSL) recognition system. In our previous
research, we focused on only JSL words performed by the movement of the dominant arm …

In this thesis, we study the problem of recognizing video sequences of fingerspelled letters
in American Sign Language (ASL). Fingerspelling comprises a significant but relatively …