First-Person Palm Pose Tracking and Gesture Recognition in Augmented Reality

2016 ◽  
pp. 3-15 ◽  
Author(s):  
Daniel Thalmann ◽  
Hui Liang ◽  
Junsong Yuan
Keyword(s):  
Augmented Reality ◽  
Gesture Recognition ◽  
First Person ◽  
Pose Tracking

Sixth Sense Technology

2016 ◽  
pp. 188-215 ◽  
Author(s):  
Zeenat S. AlKassim ◽  
Nader Mohamed
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Real World ◽  
Digital World ◽  
The Future ◽  
Computer Interaction

In this chapter, the authors discuss a unique technology known as the Sixth Sense Technology, highlighting the future opportunities of such technology in integrating the digital world with the real world. Challenges in implementing such technologies are also discussed along with a review of the different possible implementation approaches. This review is performed by exploring the different inventions in areas similar to the Sixth Sense Technology, namely augmented reality (AR), computer vision, image processing, gesture recognition, and artificial intelligence and then categorizing and comparing between them. Lastly, recommendations are discussed for improving such a unique technology that has the potential to create a new trend in human-computer interaction (HCI) in the coming years.

Pose Tracking in Augmented Reality of Cultural Heritage

2017 ◽  
Vol 1 (1) ◽  
pp. 123-131
Author(s):  
Daniel Asmar
Keyword(s):  
Augmented Reality ◽  
Cultural Heritage ◽  
Paper Briefly ◽  
Open Problems ◽  
Future Directions ◽  
Advantages And Disadvantages ◽  
Pose Tracking ◽  
Solution Methods

This paper briefly surveys pose tracking methods used for augmented reality applications in cultural heritage. The paper primarily benefits scholars and practitioners in the areas of electronic heritage. Pose tracking techniques are categorized as either being dependent or independent of their surrounding; accordingly, various solution methods in the literature are presented along with their advantages and disadvantages. I conclude the paper with a discussion on the open problems in pose tracking in cultural heritage and recommend future directions of research in this field.

scholarly journals First Person Indoor/Outdoor Augmented Reality Application: ARQuake

2002 ◽  
Vol 6 (1) ◽  
pp. 75-86 ◽  
Author(s):  
Bruce Thomas ◽  
Ben Close ◽  
John Donoghue ◽  
John Squires ◽  
Phillip De Bondi ◽  
...  
Keyword(s):  
Augmented Reality ◽  
First Person ◽  
Augmented Reality Application ◽  
Outdoor Augmented Reality

Research on the Virtuality-Reality Interaction Based on Dynamic Gesture Recognition in Augmented Reality System

2012 ◽  
Vol 7 (1) ◽  
pp. 468-472
Author(s):  
Yimin Chen ◽  
Qiming Li ◽  
Chen Huang ◽  
Congli Ye ◽  
Yun Li ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Gesture Recognition ◽  
Augmented Reality System ◽  
Dynamic Gesture Recognition

A hybrid pose tracking approach for handheld augmented reality

2015 ◽  
Author(s):  
Juan Li ◽  
Maarten Slembrouck ◽  
Francis Deboeverie ◽  
Ana M. Bernardos ◽  
Juan A. Besada ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Pose Tracking

Robust and real-time pose tracking for augmented reality on mobile devices

2017 ◽  
Vol 77 (6) ◽  
pp. 6607-6628 ◽  
Author(s):  
Xin Yang ◽  
Jiabin Guo ◽  
Tangli Xue ◽  
Kwang-Ting Cheng
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mobile Devices ◽  
Pose Tracking

ARQuake: an outdoor/indoor augmented reality first person application

2002 ◽  
Author(s):  
B. Thomas ◽  
B. Close ◽  
J. Donoghue ◽  
J. Squires ◽  
P. De Bondi ◽  
...  
Keyword(s):  
Augmented Reality ◽  
First Person

EIT-based Gesture Recognition Training with Augmented Reality

2021 ◽  
Author(s):  
Christian Giesser ◽  
Christian Gibas ◽  
Armin Gruenewald ◽  
Tanja Joan Eiler ◽  
Vanessa Schmuecker ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Gesture Recognition

Comparison Between 2D and 3D Hand Gesture Interaction for Augmented Reality Applications

2011 ◽  
Author(s):  
Rafael Radkowski ◽  
Christian Stritzke
Keyword(s):  
Augmented Reality ◽  
Gesture Recognition ◽  
Recognition System ◽  
Hand Gesture ◽  
Interaction Techniques ◽  
3D Interaction ◽  
Gesture Interaction ◽  
Depth Images ◽  
2D And 3D ◽  
Hand Gesture Interaction

This paper presents a comparison between 2D and 3D interaction techniques for Augmented Reality (AR) applications. The interaction techniques are based on hand gestures and a computer vision-based hand gesture recognition system. We have compared 2D gestures and 3D gestures for interaction in AR application. The 3D recognition system is based on a video camera, which provides an additional depth image to each 2D color image. Thus, spatial interactions become possible. Our major question during this work was: Do depth images and 3D interaction techniques improve the interaction with AR applications, respectively with virtual 3D objects? Therefore, we have tested and compared the hand gesture recognition systems. The results show two things: First, they show that the depth images facilitate a more robust hand recognition and gesture identification. Second, the results are a strong indication that 3D hand gesture interactions techniques are more intuitive than 2D hand gesture interaction techniques. In summary the results emphasis, that depth images improve the hand gesture interaction for AR applications.

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