A hierarchical parallel fusion framework for egocentric ADL recognition based on discernment frame partitioning and belief coarsening-Reference-Cited by-同舟云学术

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A hierarchical parallel fusion framework for egocentric ADL recognition based on discernment frame partitioning and belief coarsening

Published:2020-07-09 Issue:2 Volume:12 Page:1693-1715
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Yu Haibin^ORCID,Jia Wenyan,Zhang Li,Pan Mian,Liu Yuanyuan,Sun Mingui

Funder

Foundation for the National Institutes of Health

Key Research and Development Program of Zhejiang Province

National Natural Science Foundation of China

Fundamental Research Funds for the Universities of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02241-2.pdf

Reference50 articles.

1. Aghaei M, Dimiccoli M, Ferrer CC, Radeva P (2018) Towards social pattern characterization in egocentric photo-streams. Comput Vis Image Underst 171:104–117. https://doi.org/10.1016/j.cviu.2018.05.001

2. Aksasse H, Aksasse B, Ouanan M (2019) Deep convolutional neural networks for human activity classification. In: International conference on information, communication and computing technology (ICICCT 2019), Istanbul City, Turkey, 30–31 October, pp 77–87

3. Attal F, Mohammed S, Dedabrishvili M, Chamroukhi F, Oukhellou L, Amirat Y (2015) Physical human activity recognition using wearable sensors. Sensors 15:31314–31338. https://doi.org/10.3390/s151229858

4. Bano S, Suveges T, Zhang J, Mckenna SJ (2018) Multimodal egocentric analysis of focused interactions. IEEE Access 6:37493–37505. https://doi.org/10.1109/ACCESS.2018.2850284

5. Behera A, Hogg DC, Cohn AG (2012) Egocentric activity monitoring and recovery. In: 11th Asian conference on computer vision (ACCV 2012), Daejeon, Korea, November 5–9, 2012. Springer, pp 519–532

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