Designing Canonical Form of Finger Motion Grammar in Leapmotion Contents

Abstract

This paper proposes methods that can standardize the different content motions that use Leapmotion in order to define and recognize them. A current Gesture interface is built and used to fit the individual contents. This creates confusion among the users because each applied field uses a different motion. Therefore, we defined the motions that were used in the contents in diverse fields into Motion grammar, proposed a method to recognize the defined language through a Motion Tree, and verified its accuracy through experiments.

Long-Range Gesture Recognition Using Millimeter Wave Radar

“…At present, there are two popular infrared sensor electronic devices: Leapmotion and Kinect. Leapmotion captures a hand motion in 3D, analyzes it, and carries out motion control on the contents using its interenal infrared camera [7]. However, Leapmotion is not able to determine all attributes for each frame.…”

“…Compared with candidate sensing methods (e.g., WiFi signal [9], sonic wave [11], and ultrusonic wave [12]), millimeter wave (mmWave) is sensitive to detect tiny variations, i.e., centimiter-level finger movements. While visible [6] and infrared [7] light sensing are much more accurate on imaging a hand and thus gesture recognition, mmWave has unique advantages of privacy protection and energy consumption.…”

Structural Motion Grammar for Universal Use of Leap Motion: Amusement and Functional Contents Focused

“…This study actually is designed to target leap motion gestures that have been used in games since game users are inconvenienced by having to learn different motions for content because they all have their own motions. A preliminary conference paper is shown in [13].…”