Health crisis situation awareness using mobile multiple modalities

Lynne Grewe; Subhangi Asati; Shivali Choudhary; Emmanuel Gallegos; Divya Gupta; Maithri House; Cemil Kes; Jamie Ngyuen; Bhumit Patel; Kunjkumar Patel; Dikshant Pravin Jain; Jake Shahshahani; Phillip Aguilera; Allen Shahshahani; Manasi Rajiv Weginwar; Chengzhi Hu

doi:10.1117/12.2587544

6 May 2021 Health crisis situation awareness using mobile multiple modalities

Lynne Grewe, Subhangi Asati, Shivali Choudhary, Emmanuel Gallegos, Divya Gupta, Maithri House, Cemil Kes, Jamie Ngyuen, Bhumit Patel, Kunjkumar Patel, Dikshant Pravin Jain, Jake Shahshahani, Phillip Aguilera, Allen Shahshahani, Manasi Rajiv Weginwar, Chengzhi Hu

Author Affiliations +

Proceedings Volume 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX; 1175613 (2021) https://doi.org/10.1117/12.2587544
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Responding to health crises requires the deployment of accurate and timely situation awareness. Understanding the location of geographical risk factors could assist in preventing the spread of contagious diseases and the system developed, Covid ID, is an attempt to solve this problem through the crowd sourcing of machine learning sensor-based health related detection reports. Specifically, Covid ID uses mobile-based Computer Vision and Machine Learning with a multi-faceted approach to understanding potential risks related to Mask Detection, Crowd Density Estimation, Social Distancing Analysis, and IR Fever Detection. Both visible-spectrum and LWIR images are used. Real results for all modules are presented along with the developed Android Application and supporting backend.

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Lynne Grewe, Subhangi Asati, Shivali Choudhary, Emmanuel Gallegos, Divya Gupta, Maithri House, Cemil Kes, Jamie Ngyuen, Bhumit Patel, Kunjkumar Patel, Dikshant Pravin Jain, Jake Shahshahani, Phillip Aguilera, Allen Shahshahani, Manasi Rajiv Weginwar, and Chengzhi Hu "Health crisis situation awareness using mobile multiple modalities", Proc. SPIE 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, 1175613 (6 May 2021); https://doi.org/10.1117/12.2587544

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