Predictive Analytics for COVID-19 Social Distancing

Teng, Harold Ze Chie; Jiang, Hongchao; Ho, Xuan Rong Zane; Lim, Wei Yang Bryan; Ng, Jer Shyuan; Yu, Han; Xiong, Zehui; Niyato, Dusit; Miao, Chunyan

doi:10.24963/ijcai.2021/716

Predictive Analytics for COVID-19 Social Distancing

Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Demo Track. Pages 5016-5019.

https://doi.org/10.24963/ijcai.2021/716

Keywords

Computer Vision: General
Machine Learning: General
Human-Computer Interaction: General

Abstract

The COVID-19 pandemic has disrupted the lives of millions across the globe. In Singapore, promoting safe distancing by managing crowds in public areas have been the cornerstone of containing the community spread of the virus. One of the most important solutions to maintain social distancing is to monitor the crowdedness of indoor and outdoor points of interest. Using Nanyang Technological University (NTU) as a testbed, we develop and deploy a platform that provides live and predicted crowd counts for key locations on campus to help users plan their trips in an informed manner, so as to mitigate the risk of community transmission.

Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, and Chunyan Miao. 2021. Predictive Analytics for COVID-19 Social Distancing. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 5016–5019. https://doi.org/10.24963/ijcai.2021/716

@inproceedings{ijcai2021p716,
  title     = {Predictive Analytics for COVID-19 Social Distancing},
  author    = {Teng, Harold Ze Chie and Jiang, Hongchao and Ho, Xuan Rong Zane and Lim, Wei Yang Bryan and Ng, Jer Shyuan and Yu, Han and Xiong, Zehui and Niyato, Dusit and Miao, Chunyan},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {5016--5019},
  year      = {2021},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2021/716},
  url       = {https://doi.org/10.24963/ijcai.2021/716},
}

TY  - CPAPER
TI  - Predictive Analytics for COVID-19 Social Distancing
AU  - Teng, Harold Ze Chie
AU  - Jiang, Hongchao
AU  - Ho, Xuan Rong Zane
AU  - Lim, Wei Yang Bryan
AU  - Ng, Jer Shyuan
AU  - Yu, Han
AU  - Xiong, Zehui
AU  - Niyato, Dusit
AU  - Miao, Chunyan
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 5016
EP  - 5019
DO  - 10.24963/ijcai.2021/716
UR  - https://doi.org/10.24963/ijcai.2021/716
ER  -