Identification of deep breath while moving forward based on multiple body regions and graph signal analysis

no code implementations • 20 Oct 2020 • Yunlu Wang, Cheng Yang, Menghan Hu, Jian Zhang, Qingli Li, Guangtao Zhai, Xiao-Ping Zhang

This paper presents an unobtrusive solution that can automatically identify deep breath when a person is walking past the global depth camera.

Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

no code implementations • 12 Feb 2020 • Yunlu Wang, Menghan Hu, Qingli Li, Xiao-Ping Zhang, Guangtao Zhai, Nan Yao

During the epidemic prevention and control period, our study can be helpful in prognosis, diagnosis and screening for the patients infected with COVID-19 (the novel coronavirus) based on breathing characteristics.