Intentional Microgesture Recognition for Extended Human-Computer Interaction-Reference-Cited by-同舟云学术

Intentional Microgesture Recognition for Extended Human-Computer Interaction

Published:2023 Issue: Volume: Page:499-518
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Kandoi Chirag^ORCID,Jung Changsoo^ORCID,Mannan Sheikh^ORCID,VanderHoeven Hannah^ORCID,Meisman Quincy^ORCID,Krishnaswamy Nikhil^ORCID,Blanchard Nathaniel^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-35596-7_32

Reference29 articles.

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2. Chen, H., Liu, X., Li, X., Shi, H., Zhao, G.: Analyze spontaneous gestures for emotional stress state recognition: a micro-gesture dataset and analysis with deep learning. In: 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), pp. 1–8. IEEE (2019)

3. Fan, H., Xiong, B., Mangalam, K., Li, Y., Yan, Z., Malik, J., Feichtenhofer, C.: Multiscale vision transformers. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 6824–6835 (2021)

4. Freeman, E., Griffiths, G., Brewster, S.A.: Rhythmic micro-gestures: discreet interaction on-the-go. In: Proceedings of the 19th ACM International Conference on Multimodal Interaction, pp. 115–119 (2017)

5. Hara, K., Kataoka, H., Satoh, Y.: Can spatiotemporal 3d CNNs retrace the history of 2d CNNs and imagenet? In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 6546–6555 (2018)

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