Paper Info
Title
Non-Contact Robust Respiration Detection By Using Radar-Depth Camera Sensor Fusion
Abstract
In this paper, a non-contact respiration detection scheme based on Doppler radar-depth camera sensor fusion has been proposed. A continuous-wave (CW) Doppler radar sensor and a depth camera are used to measure the respiratory motion separately. Then the Bayesian sensor fusion algorithm is used to estimate the cycle-to-cycle breathing rate. The experiments prove that the proposed fusion scheme can provide an accurate breathing rate estimation than using a single sensor. In particular, the proposed scheme can give a reasonable estimation even under the influence of body movement.
Year
DOI
Venue
2020
10.1109/EMBC44109.2020.9176852
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20
DocType
Volume
ISSN
Conference
2020
1557-170X
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Heng Zhao1325.34
Xiaomeng Gao200.34
Xiaonan Jiang300.34
Hong Hong4308.34
Xiaoguang Liu501.35