Reynaldi, Reynaldi and Purnama, James and Galinium, Maulahikmah (2017) Comparison of Utilizing Depth Camera and Leap Motion to Recognise Dragging and Dropping Gesture. Bachelor thesis, Swiss German University.

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Abstract

To support an interactive table at the restaurant, hand gesture recognition is needed. Because of that, this research is using projector that project screen and turn ordinary table into multi touch with drag and drop ability tabletop. The aim of this research is to compare the utilization of depth camera and leap motion in recognizing dragging and dropping gesture. Mid-air signaling can give a few advantages as far as upgrading touch table openness - for example, the Leap Motion sensor can undoubtedly be joined into the fringe around a touch table permitting individuals to just approach the table and begin cooperating with substance (without the need of an outer gadget). The method needed to implement drag and drop on tabletop using Leap motion is using the double tap dragging technique. However the method needed to implement drag and drop using depth camera is by utilizing Kinect arms toolkit. The exploration results indicate 60% exactness rate in handy trial situations using the double tap dragging technique by utilizing Leap Motion. This result is beaten by the depth camera result with the percentage 70-80% accuracy rate. This proved that even Leap Motion easier to implement, has many dragging technique to implement drag-anddrop and can reach the surface to direct touch when the interaction height is set to 0, the accuracy is still lower than the Depth Camera. The research result also comes up with some scenario that affecting depth camera such as size of table, skin color. The Leap motion is also affected by some scenario such as size of table and illumination.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Tabletop; Touch Surface; Depth Camera; Drag and Drop; Microsoft
Subjects:	Q Science > QA Mathematics > QA76 Computer software >
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Astuti Kusumaningrum
Date Deposited:	12 May 2020 09:39
Last Modified:	12 May 2020 09:39
URI:	http://repository.sgu.ac.id/id/eprint/288

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