Hand Gesture Recognition Library
This work addresses the need for customizable gesture recognition tools for application developers, but it appears incremental as it builds on existing concepts without introducing major innovations.
The paper presents a hand gesture recognition library that processes input images into logical arrays to detect features like cluster count, orientation, and finger pointing direction, aiming to provide flexible options for developers to create custom gestures.
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.