Non-Contact Respiration Measurement Method Based on RGB Camera Using 1D Convolutional Neural Networks
Conventional respiration measurement requires a separate device and/or can cause discomfort, so it is difficult to perform routinely, even for patients with respiratory diseases. The development of contactless respiration measurement technology would reduce discomfort and help detect and prevent fat...
Main Authors: | Hyeon-Sang Hwang, Eui-Chul Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/10/3456 |
Similar Items
-
A Real-Time Respiration Monitoring and Classification System Using a Depth Camera and Radars
by: Shan He, et al.
Published: (2022-03-01) -
Breathing In-Depth: A Parametrization Study on RGB-D Respiration Extraction Methods
by: Jochen Kempfle, et al.
Published: (2021-12-01) -
Human respiration : anatomy and physiology, mathematical modeling, numerical simulation and applications /
by: Kulish, V. (Vladimir), 1966-
Published: (2006) -
Camera-Based Respiration Monitoring of Unconstrained Rodents
by: Lukas Breuer, et al.
Published: (2023-06-01) -
Interactive respiration [electronic resource]
Published: ([199)