| Paper Abstract and Keywords |
| Presentation |
2021-12-13 14:00
Emotion Recognition from Gait Using Attention Spatial-Temporal Graph Convolutional Network
Shoji Kisita, Chen Yen-Wei (Ritsumeikan Univ.), Tomoko Tateyama (Shiga Univ.), Yutaro Iwamoto, Liu Jiaqing, Chai Shurong (Ritsumeikan Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
3D pose recognition is a technology that has been used in many fields, including touchless operation in the medical field and the entertainment field. Conventional image-based pose recognition lacks robustness because the input image is affected by the background and illumination. In this study, we aimed to improve emotion recognition from walking using an attention spatial-temporal graph convolutional network, which is a skeleton-based dynamic action recognition model. The novelty of this work is the introduction of the Attention mechanism to existing spatial-temporal graph convolutional network (ST-GCN), and the comparison of the change of the contribution to more localized parts in each approach to improve the accuracy. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Graph Convolutional Networks / Node Attention / Graph structure / walking recognition / emotion recognition / / / |
| Reference Info. |
ITE Tech. Rep., vol. 45, no. 39, ME2021-94, pp. 25-28, Dec. 2021. |
| Paper # |
ME2021-94 |
| Date of Issue |
2021-12-06 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME |
| Conference Date |
2021-12-13 - 2021-12-13 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2021-12-ME |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Emotion Recognition from Gait Using Attention Spatial-Temporal Graph Convolutional Network |
| Sub Title (in English) |
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| Keyword(1) |
Graph Convolutional Networks |
| Keyword(2) |
Node Attention |
| Keyword(3) |
Graph structure |
| Keyword(4) |
walking recognition |
| Keyword(5) |
emotion recognition |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Shoji Kisita |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Chen Yen-Wei |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 3rd Author's Name |
Tomoko Tateyama |
| 3rd Author's Affiliation |
Shiga University (Shiga Univ.) |
| 4th Author's Name |
Yutaro Iwamoto |
| 4th Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 5th Author's Name |
Liu Jiaqing |
| 5th Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 6th Author's Name |
Chai Shurong |
| 6th Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-12-13 14:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
ME |
| Paper # |
ME2021-94 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.39 |
| Page |
pp.25-28 |
| #Pages |
4 |
| Date of Issue |
2021-12-06 (ME) |