Detecting Peculiar Facial Expressions for Unspecified Persons Based on Sparse Coding
| Project/Area Number |
15K12100
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
Suzuki Einoshin 九州大学, システム情報科学研究院, 教授 (10251638)
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
|
|---|
| Keywords | 異常検知 / 転移学習 / 顔表情 / 生涯学習 |
|---|
| Outline of Final Research Achievements |
We have invented theories and a method for detecting peculiar facial expressions from unlabeled data of the target person and unlabeled data of other persons, implemented them as a computer system, and demonstrated their effectiveness on a benchmark data on painful facial expressions.
Moreover, we have invented a method for detecting fatigue, implemented the method as an integrated system, and demonstrated its effectiveness with experiments on 6 persons. In this method, an autonomous mobile robot with Kinect version 2 observes the target person, who makes spontaneous smiling expressions and normal expressions every 30 minutes.
|
Report
(4 results)
Research Products
(19 results)
