| Paper Abstract and Keywords |
| Presentation |
2017-02-21 11:00
A note on the estimation of viewer interest level using facial expression
-- Applying a framework for anomaly detection --
Yuma Sasaka, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents a method which estimates interest level by quantifying facial expression data captured from users while watching videos. In the proposed method, the framework for anomaly detection is newly applied to estimate interest level. Specifically, by using a infrared depth sensor, our method obtains changes in facial expression as numerical features, which are obtained from users while they are watching the videos. Next, the probability distribution of the features is calculated to model changes in facial expression. Then, an anomaly score of changes in facial expression is obtained based on the probability distribution. Using the calculated anomaly score,interest level, which the change of facial expression represents, could be estimated. Finally, this paper shows the effectiveness of the proposed method through experimentation on real participants. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
interest level / anomaly detection / facial expression / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 41, no. 5, ME2017-36, pp. 77-80, Feb. 2017. |
| Paper # |
ME2017-36 |
| Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
CE MMS AIT HI ME IEICE-ITS IEICE-IE |
| Conference Date |
2017-02-20 - 2017-02-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2017-02-CE-MMS-AIT-HI-ME-ITS-IE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A note on the estimation of viewer interest level using facial expression |
| Sub Title (in English) |
Applying a framework for anomaly detection |
| Keyword(1) |
interest level |
| Keyword(2) |
anomaly detection |
| Keyword(3) |
facial expression |
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| 1st Author's Name |
Yuma Sasaka |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Takahiro Ogawa |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Miki Haseyama |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2017-02-21 11:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2017-12, CE2017-12, HI2017-12, ME2017-36, AIT2017-12 |
| Volume (vol) |
vol.41 |
| Number (no) |
no.5 |
| Page |
pp.77-80 |
| #Pages |
4 |
| Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |