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Application of convolutional neural networks for fall detection using multiple cameras
(Springer, 2020)
Currently one of the most important research issue for artificial intelligence and computer vision tasks is the recognition of human falls. Due to the current exponential increase in the use of cameras is it common to use ...
Open source implementation for fall classification and fall detection systems
(Springer, 2020)
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 ...
Preface : Challenges and trends in multimodal fall detection for healthcare
(Springer, 2020)
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. ...
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 ...