Skeleton-based Human Action Recognition in a Thermal Comfort Context-Reference-Cited by-同舟云学术

Skeleton-based Human Action Recognition in a Thermal Comfort Context

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
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Author:

Martins John¹^ORCID,Flanigan Katherine¹^ORCID,McComb Christopher¹^ORCID

Affiliation:

1. Carnegie Mellon University, USA

Funder

Manufacturing Futures Institute at Carnegie Mellon University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600100.3626339

Reference33 articles.

1. Ayman Ali Ekkasit Pinyoanuntapong Pu Wang and Mohsen Dorodchi. 2023. Skeleton-based human action recognition via convolutional neural networks (CNN). arxiv:2301.13360 Ayman Ali Ekkasit Pinyoanuntapong Pu Wang and Mohsen Dorodchi. 2023. Skeleton-based human action recognition via convolutional neural networks (CNN). arxiv:2301.13360

2. Real-time surveillance-video-based personalized thermal comfort recognition

3. Katherine A. Flanigan and Jerome P. Lynch . 2018. Advanced Computing Strategies for Engineering (EG-ICE 2018 ). Vol. 10864. Springer , Cham, Name of chapter: Community engagement using urban sensing: Technology development and deployment studies. https://doi.org/10.1007/978-3-319-91638-5_5 10.1007/978-3-319-91638-5_5 Katherine A. Flanigan and Jerome P. Lynch. 2018. Advanced Computing Strategies for Engineering (EG-ICE 2018). Vol. 10864. Springer, Cham, Name of chapter: Community engagement using urban sensing: Technology development and deployment studies. https://doi.org/10.1007/978-3-319-91638-5_5

4. Infrared thermography of human face for monitoring thermoregulation performance and estimating personal thermal comfort

5. Towards a model of user behaviour regarding the manual control of windows in office buildings

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