FRONTIER INNOVATION AWARD

COMPETITION 2019

JULY 9-12, 2019 | KITAKYUSHU, JAPAN

Fi Award Competition 2019

This contest is only for students and aims to demonstrate the latest results in multimedia technologies. To take part in the competition, teams must register and follow the contest rules as outlined below. Teams submit full software products, covering the whole software development process. After a careful evaluation carried out by the Program Committee, several finalist teams will be invited to FC 2019 in KITAKYUSHU, JAPAN and to present and demonstrate their projects and receive their awards in the conference.

 
 

TRACKS:

Fi-Award Competition has the two tracks, please choose one track for your project. Each team should include 1 or 2 advisor(s) and do not exceed 5 students.

  • Game Design: This track is intended to show the game development in mobile, PC and Console, not limited to programming. You can make a case by any popular multimedia authoring tools.

  • Frontier Computing Applications in Artificial Intelligence or Interactive Technology: Frontier Computing can be used for entertainment, education, museum exhibits and so much more. The original design consists of your innovation or standard patent application in this track. Your end product is only limited by your imagination.

FORMAT:

  • Please submit a VIDEO and PDF Document for Fi-Award Competition 2019. Video may be simulations or demonstrations, for example, and can be a great tool to enhance and promote your idea. The video should not exceed 3 minutes and must accompany a PDF document within 4-6 pages by LNEE format [Word] or [Latex]. The video will be sent to peer review with your document for evaluation.

  • Please include "Game Design""Frontier Computing Applications in Artificial Intelligence" or "Frontier Computing Applications in Interactive Technology" in the email title.

SELECTED WORKS:

Combining Deep Learning Algorithm and Haptic Feedback for Entertainment Applications

Creating a Fantastic Experience with Thermal Illusion by Using Thermal and Electrical Stimulation

The Method of Deep Learning on Multi-joint Robotic Design for Operating Puppet

CONTEST RULES

 

Evaluation of Projects

The video and slide should include the various artifacts produced during the development, according to the requests formulated in the project description. Each submitted report will be evaluated by at least 2 members of the Program Committee.

Judging

The judges will grade entries by the following criteria:

  • The originality of Concept--Does the project introduce a great new idea?

  • Effective Use of the Platform --Does the application take advantage of OS and hardware?

  • Polish and Appeal--Is the application easy to use and aesthetically appealing?​

Final Submission

The eventually selected teams will be required to submit a Final PDF Document based on Review Comments. The PDF document should follow the LNEE format within 4-6 pages, [Word] or [Latex]. Those teams will be invited to present and demonstrate their projects in the FC2019 conference. Award winners will be selected during the conference by all-conference participators. The teams are responsible to prepare all the material that is necessary to run and fully evaluate their applications during the conference. Each selected team is requested to register strictly.

Copyright Issues

Unless exceptions are explicitly stated in advance, all artifacts produced by the teams will be treated confidentially by the PC during the evaluation phase but a copyright release will be requested from the teams selected to submit a full report of their project (see the evaluation procedure).

PANEL OF JUDGES

Panel of Judges

The application competition is co-chaired by and includes members both from academia and industry. Co-chairs, panel of judges:​​

 

  • Neil Y. Yen, The University of Aizu, Japan

  • Guan-Hao Tseng, iStuNet Inc. & IET Taipei, Taiwan

 

 

Jury Members:

  • Neil Y. Yen, The University of Aizu, Japan

  • Yan Pei, The University of Aizu, Japan

  • Nigel Lin, Santa Clara University, USA

  • Francisco Isidro Massetto, Universidade Federal do ABC, Brazil

  • Maiga Chang, Athabasca University, Canada

  • Jun Shen, University of Wollongong, Australia

  • Po-Sheng Chiu, National Chiayi University, Taiwan

  • Ying-Hung Pu, Shu-Te University, Taiwan