Abstract:
Many ways of communications are used between
human and computer, while using gesture is considered to
be one of the most natural ways in a virtual reality system.
Hand gesture is one of the typical methods of non-verbal
communication for human beings and we naturally use
various gestures to express our own intentions in everyday
life. Gesture recognizers are supposed to capture and
analyze the information transmitted by the hands of a
person who communicates in sign language. This is a
prerequisite for automatic sign-to-spoken-language
translation, which has the potential to support the
integration of deaf people into society. This paper present
part of literature review on ongoing research and findings
on different technique and approaches in gesture
recognition using Hidden Markov Models (HMMs) for
vision-based approach.
