An estimation system of psychological conditions based on a micro facial expression recognition method
Project/Area Number |
25870570
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Perceptual information processing
Kansei informatics
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Research Institution | Tokyo University of Agriculture and Technology (2014) Kagoshima University (2013) |
Principal Investigator |
AKAGI Yasuhiro 東京農工大学, 工学(系)研究科(研究院), 特任准教授 (90451989)
|
Project Period (FY) |
2013-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
|
Keywords | 表情認識 / 微表情 / トラッキング / 3次元点群 / 3次元点群 / 顔画像 / 認識 / 3次元形状 / 点群処理 / 特徴抽出 |
Outline of Final Research Achievements |
A method for recognizing a micro expression which is a small motion appearing on a face by using a high density and high frame-rate 3D reconstruction method are developed. In order to verify the set of methods to identify the site of micro expression and its accuracy, as a simple recognition problem, vocalizing unknown words was assigned to be further analyzed mechanically. As a result, by using highly accurate data of the facial movement, we were able to identify feature parts that matches with the human mental state, and able to estimate at about 75% accuracy. On the other hand, if the accuracy of the face shape measurement was decreased by few 10mm and lower the frame rate to 20fps, recognition of the micro expression became troublesome.
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Report
(3 results)
Research Products
(4 results)