Quantitative Assessment of Facial Paralysis Based on Spatiotemporal Features-Reference-Cited by-同舟云学术

Quantitative Assessment of Facial Paralysis Based on Spatiotemporal Features

Published:2016 Issue:1 Volume:E99.D Page:187-196
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

NGO Truc Hung¹,CHEN Yen-Wei¹²,MATSUSHIRO Naoki³,SEO Masataka¹

Affiliation:

1. Graduate School of Information Science & Engineering, Ritsumeikan University

2. College of Computer Science and Technology, Zhejiang University

3. Osaka Police Hospital

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/1/E99.D_2015EDP7082/_pdf

Reference19 articles.

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2. [2] N. Matsushiro, “Differences in the evaluation of facial palsy (Yanagihara grading system) among 52 ENT doctors at Osaka University,” Journal of Facial Nerve Research, vol.29, pp.60-62, 2010.

3. [3] G.S. Wachtman, Y. Liu, T. Zhao, J. Cohn, K. Schmidt, T.C. Henkelmann, J.M. VanSwearingen, and E.K. Manders, “Measurement of asymmetry in persons with facial paralysis,” Combined Annual Conference of the H.I. Robert and Ohio Valley societies of Plastic and Reconstructive Surgeon, 2002.

4. [4] S. He, J.J. Soraghan, B.F. O'Reilly, and D. Xing, “Quantitative analysis of facial paralysis using local binary pattern in biomedical videos,” IEEE Trans. Biomed. Eng., vol.56, no.7, pp.1864-1870, 2009.

5. [5] T. Nishida, Y.W. Chen, N. Matsushiro, and K. Chihara, “An image based quantitative evaluation method for facial paralysis,” Proc. Second International Conference on Software Engineering and Data Mining (SEDM), pp.706-709, June 2010.

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