Hand gestures recognition Using Media Pipe

Abstract : Hand gesture recognition system received great attention in the recent few years because of its manifoldness applications and the ability to interact with machine efficiently through human computer interaction. In this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture recognition system are presented with challenges of gesture system. Review methods of recent postures and gestures recognition system presented as well. Summary of research results of hand gesture methods, databases, and comparison between main gesture recognition phases are also given. Advantages and drawbacks of the discussed systems are explained finally. Most of the articles focus on three key aspects of the vision-based hand gesture recognition system: data acquisition, data environment, and hand gesture representation. Successful efforts in hand gesture recognition research over the past two decades have paved the way for natural human–computer interaction systems. However, ongoing challenges—such as consistently identifying the gesturing phase, sensitivity to variations in size, shape, and speed, as well as issues caused by occlusion—continue to keep hand gesture recognition research highly active.

Keyword Classification, feature extraction, dynamic hand gesture recognition, sign language recognition.