Tehnički vjesnik, Vol. 26 No. 2, 2019.
Pregledni rad
https://doi.org/10.17559/TV-20181012093055
Leap Motion Sensor for Natural User Interface
Nenad Breslauer
orcid.org/0000-0001-8891-6299
; Polytechnic of Međimurje in Čakovec, Bana Josipa Jelačića 22a, 40000 Čakovec, Croatia
Irena Galić
orcid.org/0000-0002-0211-4568
; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia
Mihael Kukec
; Polytechnic of Međimurje in Čakovec, Bana Josipa Jelačića 22a, 40000 Čakovec, Croatia
Ivan Samardžić
; J. J. Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlić-Mažuranić 2, 35000 Slavonski Brod, Croatia
Sažetak
In Human Computer Interaction (HCI) research area, there is an increasing tendency to make devices as simple and as natural as possible for use. These devices are aiming to make input and output techniques, interaction, etc., easier. In the input domain, sensors monitor and interpret head, eye, face and even whole body movements. Interacting with the computer, hands are the most effective tool of general purpose, due to their functionality in communication and manipulation. Using hands as an input device is an attractive method for ensuring interaction between man and computer. This paper gives an overview of the Leap Motion devices as a technology that enables natural interaction between man and computer in NUI (natural user interface) implementation. The main idea to maximize the naturalness of the user environment and the use of hand movements is in the application of the sensor fusion of two Leap Motion devices. Applying sensor fusion of two Leap Motion devices will increase the range of hand movement and the interaction within the environment, which will again contribute to the natural user interface (NUI). The suggested method can be used offline or in real time, and can benefit from a wide range of applications, where the gesture of the hand and fingers is the focus of significance and estimation effect.
Ključne riječi
gesture recognition technology; HCI; Mid-air gestures; NUI
Hrčak ID:
219551
URI
Datum izdavanja:
24.4.2019.
Posjeta: 2.046 *