Now showing items 1-6 of 6
Open source implementation for fall classification and fall detection systems
Distributed social coding has created many benefits for software developers. Open source code and publicly available datasets can leverage the development of fall detection and fall classification systems. These systems ...
Freezing front velocity estimation using image processing techniques
(Elsevier B.V., 2020-02)
Freeze concentration is a promising water purification technology due to its low energy consumption when compared with traditional procedures such as evaporation. Crystal growth velocity is an important parameter for the ...
A non-contact heart rate estimation method using video magnification and neural networks
(Institute of Electrical and Electronics Engineers Inc., 2020-06)
Heart rate (HR) monitoring is a significant task in many medical, sports and aged care in assisted living applications, among other disciplines. In the literature, several works have reported effectiveness in addressing ...
Nuclear density analysis in microscopic images for the characterization of retinal geographic atrophy
Age-related macular degeneration (AMD) is the leading cause of irreversible blindness in industrialized countries. It is estimated that AMD affects at least 1 in 10 Hispanics. Previous reports have shown that AMD has ...
Challenges and trends in multimodal fall detection for healthcare : preface
This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. ...
Non-contact breathing rate monitoring system using a magnification technique and convolutional networks
In this paper, we present a new non-contact strategy to estimate the breathing rate based on the Eulerian motion video magnification technique and a system based on a Convolutional Neural Network (CNN). After the magnification ...