Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
Chest Wall Motion Model of Cardiac Activity for Radar-Based Vital-Sign-Detection System
S Fan, Z Deng - Sensors, 2024 - mdpi.com
An increasing number of studies on non-contact vital sign detection using radar are now
beginning to turn to data-driven neural network approaches rather than traditional signal …
beginning to turn to data-driven neural network approaches rather than traditional signal …
An Image Classification Method of Unbalanced Ship Coating Defects Based on DCCVAE-ACWGAN-GP
H Bu, T Yang, C Hu, X Zhu, Z Ge, H Zhou - Coatings, 2024 - mdpi.com
Affected by the improper operation of the workers, environmental changes during drying and
curing or the quality of the paint itself, diverse defects are produced during the process of …
curing or the quality of the paint itself, diverse defects are produced during the process of …
Machine Learning in RADAR-based Physiological Signals Sensing: A Scoping Review of the Models, Datasets and Metrics
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …
often proposed as a possible alternative to traditional contact devices. The ability to extract …