Markerless Hand Gesture Interface Based on LEAP Motion Controller

Hand gesture interfaces provide an intuitive and natu-ral way for interacting with a wide range of applications.Nowadays, the development of these interfaces is supportedby an increasing number of sensing devices which are ableto track hand and finger movements. Despite this, the phys-ical and technical features of many of these devices makethem unsuitable for the implementation of interfaces ori-ented to the everyday desktop applications. Conversely, theLEAP motion controller has been specifically designed tointeract with these applications. Moreover, this latter devicehas been equipped with a hand skeletal model that providestracking data with a high level of accuracy.This paper describes a novel approach to define and rec-ognize hand gestures. The proposed method adopts free-hand drawing recognition algorithms to interpret the track-ing data of the hand and finger movements. Although ourapproach is applicable to any hand skeletal model, the over-all features of that provided by the LEAP motion controllerhave driven us to use it as a reference model. Extensivepreliminary tests have demonstrated the usefulness and theaccuracy of the proposed method

Review of three-dimensional human-computer interaction with focus on the leap motion controller

Modern hardware and software development has led to an evolution of user interfaces from command-line to natural user interfaces for virtual immersive environments. Gestures imitating real-world interaction tasks increasingly replace classical two-dimensional interfaces based on Windows/Icons/Menus/Pointers (WIMP) or touch metaphors. Thus, the purpose of this paper is to survey the state-of-the-art Human-Computer Interaction (HCI) techniques with a focus on the special field of three-dimensional interaction. This includes an overview of currently available interaction devices, their applications of usage and underlying methods for gesture design and recognition. Focus is on interfaces based on the Leap Motion Controller (LMC) and corresponding methods of gesture design and recognition. Further, a review of evaluation methods for the proposed natural user interfaces is given