Eat as much as you can: A Kinect-based facial rehabilitation game based on mouth and tongue movements

Yong Xiang Wang, Li Yun Lo, Min-Chun Hu

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

In this demo, we present a Kinect-based interactive game which provides patients of facial palsy with a better and more fun way to perform facial physical therapy. By letting the user get scores when he/she bites or licks the virtual foods falling from the sky, the game goads the user into exercising their facial muscles. A robust bite action detector and an efficient tip-of-tongue locating method are developed to realize this game. Based on the head pose estimated by the depth clue, we classify the face orientation and locate the mouth region in each frame. The movements of lips are measured to detect the bite action, and different strategies are designed to more accurately detect the tip-of-tongue for various face orientations. The experimental results show that our method can be successfully applied to different users.

原文English
主出版物標題MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia
發行者Association for Computing Machinery, Inc
頁面743-744
頁數2
ISBN(電子)9781450330633
DOIs
出版狀態Published - 2014 十一月 3
事件2014 ACM Conference on Multimedia, MM 2014 - Orlando, United States
持續時間: 2014 十一月 32014 十一月 7

出版系列

名字MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia

Other

Other2014 ACM Conference on Multimedia, MM 2014
國家United States
城市Orlando
期間14-11-0314-11-07

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Software

指紋 深入研究「Eat as much as you can: A Kinect-based facial rehabilitation game based on mouth and tongue movements」主題。共同形成了獨特的指紋。

  • 引用此

    Wang, Y. X., Lo, L. Y., & Hu, M-C. (2014). Eat as much as you can: A Kinect-based facial rehabilitation game based on mouth and tongue movements. 於 MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia (頁 743-744). (MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia). Association for Computing Machinery, Inc. https://doi.org/10.1145/2647868.2654887