Hand Gesture Recognition Library

TL;DR

This paper introduces a flexible hand gesture recognition library that provides various functions for detecting gesture features, designed to assist developers in creating custom gestures through a processed input image.

Contribution

The paper presents a new, adaptable library for hand gesture recognition with functions for detecting gesture features, supporting custom gesture development.

Findings

Library enables detection of cluster count and orientation

Supports finger pointing direction detection

Designed for flexible application development

Abstract

In this paper we have presented a hand gesture recognition library. Various functions include detecting cluster count, cluster orientation, finger pointing direction, etc. To use these functions first the input image needs to be processed into a logical array for which a function has been developed. The library has been developed keeping flexibility in mind and thus provides application developers a wide range of options to develop custom gestures.