Toward a wearable crowdsource system to monitor respiratory symptoms for pandemic early warning

• Main Authors: Zhang, Wei, Li, Jie, Wen, Yonggang, Luo, Yong
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Crowdsourcing; Wearables; Public Health; Artiticial Intelligence; Edge Computing; Respiratory Symptom
• Online Access: https://hdl.handle.net/10356/152737
• Institution: Nanyang Technological University

Early warning of a potential pandemic with res- piratory symptoms is crucial for global health management. It enables timely intervention to reduce the likelihood of uncon- trollable massive virus spread. In this research, we propose to leverage the ubiquitous wearable devices to develop a wearable...