3D word spotting using leap motion sensor

Author(s):  
Partha Pratim Roy ◽  
Pradeep Kumar ◽  
Shweta Patidar ◽  
Rajkumar Saini
2017 ◽  
Vol 60 (3) ◽  
pp. 374-384 ◽  
Author(s):  
TianJian Hu ◽  
XiaoJun Zhu ◽  
XueQian Wang ◽  
TianShu Wang ◽  
JunFeng Li ◽  
...  

2019 ◽  
Vol 52 (25) ◽  
pp. 321-326 ◽  
Author(s):  
S. Ahmed ◽  
V. Popov ◽  
A. Topalov ◽  
N. Shakev

Sensors ◽  
2014 ◽  
Vol 14 (2) ◽  
pp. 3702-3720 ◽  
Author(s):  
Jože Guna ◽  
Grega Jakus ◽  
Matevž Pogačnik ◽  
Sašo Tomažič ◽  
Jaka Sodnik

CYCLOTRON ◽  
2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Lukman Hakim ◽  
Surya Sumpeno ◽  
Supeno Mardi Susiki Nugroho

Abstrak - Penelitian ini membahas tentang interaksi 3D sensor Leap Motion untuk simulasi menggenggam Benda virtual Plastis. Sebuah interaksi 3D sensor Leap Motion yang digunakan sebagai simulasi untuk menggenggam benda virtual Plastis dengan menggunakan media objek telur virtual secara presisi dan akurasi yang tepat. Pada dasarnya menggenggam merupakan suatu kegiatan yang menerapkan kinerja motorik halus pada tangan untuk melakukan gerakan. Penggunaan sensor Leap Motion sebagai interaksi 3D dipakai untuk menggenggam objek maya dalam hal ini bentuk 3D telur virtual sebagai media praktiknya. Telur sendiri merupakan benda yang gampang distimulasi dan memiliki sifat texture yang halus untuk merespon segala bentuk gerakan pada genggaman tangan. Dalam penelitian Interaksi 3D Sensor Leap Motion untuk simulasi untuk menggenggam benda Virtual Plastis dengan menggunakan media objek telur virtual, ini di peruntukkan untuk mengetahui akurasi dan presisi dari pola gerakan tangan secara imersif. Pengembangan dari metode ini bertujuan untuk simulasi menggenggam benda atau objek maya dengan adanya interaksi pola gerakan tangan.Kata kunci: leapmotion, 3d, virtual reality, benda, telurAbstract - This study discusses about the 3D interaction of the Leap Motion sensor for the simulation of holding virtual plastic objects. A 3D interaction of the Leap Motion sensor that is used as a simulation to hold Plastis virtual objects by using virtual egg object media with precise and right accuracy. Basically, holding is an activity that applies fine motor performance on the hands to make movements. The use of the Leap Motion sensor as a 3D interaction is used to hold virtual objects in this case a 3D form of virtual eggs as practice media. Eggs are objects that are easily stimulated and have subtle texture to respond to all forms of movement in the hands. In the 3D interaction Leap Motion Sensors for virtual plastic objects holding simulation by using virtual egg object media, it is intended to find out the accuracy and precision of immersive hand movement patterns. The development of this method aims to simulate holding virtual objects or objects with the interaction of hand movement patterns.Keywords: leap motion, 3d, virtual reality, object, egg


Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3230 ◽  
Author(s):  
Kostas Nizamis ◽  
Noortje Rijken ◽  
Ana Mendes ◽  
Mariska Janssen ◽  
Arjen Bergsma ◽  
...  

The human hand is important for the performance of activities of daily living which are directly related to quality of life. Various conditions, such as Duchenne muscular dystrophy (DMD) can affect the function of the human hand and wrist. The ability to assess the impairment in the hand and the wrist by measuring the range of motion (ROM), is essential for the development of effective rehabilitation protocols. Currently the clinical standard is the goniometer. In this study we explore the feasibility and reliability of an optical sensor (Leap motion sensor) in measuring active hand/wrist ROM. We measured the hand/wrist ROM of 20 healthy adults with the goniometer and the Leap motion sensor, in order to check the agreement between the two methods and additionally, we performed a test-retest of the Leap motion sensor with 12 of them, to assess its reliability. The results suggest low agreement between the goniometer and the leap motion sensor, yet showing a large decrease in measurement time and high reliability when using the later. Despite the low agreement between the two methods, we believe that the Leap motion sensor shows potential to contribute to the development of hand rehabilitation protocols and be used with patients in a clinical setting.


2020 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
D Sreeharsha

Robot plays a vital part in making our lives more facile. The scope of this project is to provide a relation between human and machine by the interaction of human hand and robotic arm. The arm consists of five Degree of Freedom (DOF) and an end effectors, which allows the interaction with the real world. Now the obligations for the controller arise and along the way settled with the exploration of leap motion sensor. As earlier, robotic arm was controlled by the keypad or joystick which required a lot of practices and calculations to manipulate the robotic arm to reach desired position. The exploitation of the leap motion results in explicitly acquiring for hand gesture and provides set of points.


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