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ETXR

IEEE International Workshop of Emerging Topics in XR (ETXR 2018)

In conjunction with the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2018)

Dec 10 – Dec. 12, 2018, Taichung, Taiwan

AR/VR/XR provides users to link the perception from a real world to a virtual world with 3D contents. Computer vision, computer graphics, and interactive technologies in human computer interface supply ways to visualize and display 3D models, animations, and visual indicators for storytelling from designers and artists. This workshop offers a meeting place for researchers/designers/artists working in the convergence area of AR/VR/XR to share the research and prototyping experiences for creative ideas. At the workshop papers for “emerging topics in XR” present fast forward talks and live demonstrations, including displays, virtual and augmented reality, input devices, and robotics. Some of the accepted works will be chosen as “Best Demo Prize” by the “emerging topics in XR” program committee members at the event venue. Topics of interest include, but are not limited to:

  • Human-Computer-Interaction in VR/AR/XR
  • Wearable Applications with AR/VR/XR
  • Performing Art with XR
  • Interactive Robot with XR
  • UX with AI agents in AR/VR/XR
  • Experimental Theater Performing with AR/VR/XR
  • Behavior Recognition in AR/VR/XR

Organizers

 

Prof. Shih-Wei Sun, Taipei National University of the Arts, Taiwan

swsun@newmedia.tnua.edu.tw

Prof. Huang-Chia Shih, Yuan Ze University, Taiwan

hcshih@saturn.yzu.edu.tw

Prof. Nobuyuki Umezu, Ibaraki University, Japan

nobuyuki.umezu.cs@vc.ibaraki.ac.jp

Submissions:

In this workshop, each of the accepted speakers need to use 3 minutes to give a short talk in the “workshop paper fast forward”, and present a live demo in front of the poster with A1 size (59.4 cm width x 84.1 cm height) of the provided kiosk (with plugs). The attendees and the presenters can directly interact and share the research ideas, experiences, and suggestions for the proposed prototype. The papers with research potentials and qualified written articles for the emerging topics in XR can be accepted. Please choose one of the three submission categories:

* Abstract: 1-2 pages

* Short paper, demo, or poster: 2-4 pages

* Long paper: 4-6 pages

The submitted technical paper manuscripts (which will be published in IEEE Xplore) in double-column IEEE format should follow the official IEEE Manuscript Formatting guidelines, which is the same as the guidelines available on the AIVR 2018 web page (http://aivr.asia.edu.tw/2018/). All submissions should be directly submitted to the organizers by email.

Call for Paper (pdf)

Important Dates:

Paper submission deadline:                                    

October 12, 2018

Paper acceptance notification:                              

October 21, 2018

Camera ready and registration deadline:            

October 31, 2018

Workshop time and date:                                                                      

13:40-15:40, Dec. 12 (Wed), 2018

Location:                                                                      

Grand Ballroom 1 (13F), The Splendor Hotel Taichung

No. 1049, Jianxing Road, West District, Taichung City, 40353, Taiwan ROC

Session Chairs:

Prof. Shih-Wei Sun, Taipei National University of the Arts, Taiwan

Prof. Huang-Chia Shih, Yuan Ze University, Taiwan

Keynote speaker:

Prof. Li-Wei Chan, National Chiao Tung University, Taiwan

Technical Program:

13:40-14:45 Opening, Prof. Shih-Wei Sun and Prof. Huang-Chia Shih

13:45-14:25 Keynote Speech, Prof. Li-Wei Chan

14:25-14:35 Demo Final Setting

14:35-15:00 Paper Fast Forward (3 mins/paper)

15:00-15:30 System Demo and Evaluation

15:30-15:40 Closing and Awarding

Presented Papers:

Machine-Learning Based Fitness Behavior Recognition from Camera and Sensor Modalities
Chih-Chieh Fang, Ting-Chen Mou, Shih-Wei Sun, and Pao-Chi Chang

Combining leap motion with unity for Virtual Glove Puppets
Chi-Yen Lin, Zhang-Hao Yang, Heng-Wei Zhou, Tsai-Ni Yang, Hong-Nien Chen, and Timothy K. Shih

Towards A Music Visualization on Robot (MVR) Prototype
Pei-Chun Lin, David Mettrick, Patrick C. K. Hung, and Farkhund Iqbal

Omni-learning XR technologies and Visitorcentered Experience in the Smart Art Museum
Tsang-Gang Lin, Hsiang-Lan Shih, Chun-Ting Lee, Hui-Yu Hsieh, Yi-Yuan Chen, and Chien-Kuo Liu

A Combination of Feedback Control and Vision-Based Deep Learning Mechanism for Guiding Self-Driving Cars
Wen-Yen Lin, Wang-Hsin Hsu, and Yi-Yuan Chiang

Visual Augmentation of Printed Materials with Intelligent See-through Glass Displays: A Prototype based on Smartphone and Pepper’s Ghost
Frode Eika Sandnes and Evelyn Eika

 

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