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Multi-objective Feature Selection in Remote Health Monitoring Applications
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
In this context, we present a comprehensive survey of multimodal approaches for indoor human monitoring systems, with a specific focus on their relevance in elderly care.
Estimating exercise-induced fatigue from thermal facial images
Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues.
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes
For the first time, this work introduces regression models capable of estimating age and body mass index (BMI) based solely on acoustic data, as well as a model for sex classification.
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling
Deep learning models have shown promising results in recognizing depressive states using video-based facial expressions.
Depression Recognition using Remote Photoplethysmography from Facial Videos
Depression is a mental illness that may be harmful to an individual's health.
