The use of gesture as a natural interface serves as a
motivating force for research in modelling, analysing and
recognition of gestures. In particular, human computer
intelligent interaction needs vision-based gesture recognition,
which involves many interdisciplinary studies. A survey on
recent real-time hand gesture recognition approaches is given in
this paper. Hand gesture recognition is a relatively new field for
the computer science. Applications for hand gesture recognition
in machine learning systems have been developed
approximately for 20 years. Research in motion-based
recognition has greatly increased in last few years. Recently,
there has been a surge of interest on hand detection, tracking,
and gesture recognition. Human gesture recognition consists of
identifying and interpreting automatically human gestures using
a set of sensors (e.g. cameras, gloves). In this paper, efforts have
been taken to present an up to-date review of the state-of-the-art
in human gesture recognition which includes gesture recognition
techniques, representations and applications.
Shaikh Shabnam : Department of Computer Engineering, Shri. Jagdish Prasad Jhabarmal Tibrewala
University, Rajasthan, India
Dr. Shah Aqueel : Principal, Maulana Mukhtar Ahmad Nadvi Technical Campus, Malegaon
Hand Gesture Recognition
Tracking
Fast
Algorithm
Vision-based
In summary, a review of vision-based hand gesture
recognition methods has been presented. Considering the
relative infancy of research related to vision-based gesture
recognition, remarkable progress has been made. To
continue this momentum, it is clear that further research
in the areas of feature extraction, classification methods
and gesture representation are required, to realize the
ultimate goal of humans interfacing with machines on
their own natural terms. In this paper the recent
development on the research of hand gesture recognition
with focus on various recognition techniques. Overall,
gesture recognition is still in its infancy. It involves the
cooperation of many disciplines. In order to understand
hand gestures, not only for machines, but also for
humans, substantial research efforts in computer vision,
machine learning and psycholinguistics will be needed.
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