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Fall Detection in Low-Illumination Environments From Far-Infrared Images Using Pose Detection and Dynamic Descriptors.

, , , , , , and . IEEE Access, (2024)

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Combining novelty detectors to improve accelerometer-based fall detection., , , , and . Medical Biol. Eng. Comput., 55 (10): 1849-1858 (2017)Mobile Phone-Based Fall Detectors: Ready for Real-World Scenarios?, , , and . PAAMS (Workshops), volume 365 of Communications in Computer and Information Science, page 453-459. Springer, (2013)One-shot learning of temporal sequences using a distance dependent Chinese Restaurant Process., , and . ICPR, page 2694-2699. IEEE, (2016)Proposal of use of smartphones to evaluate and diagnose depression and anxiety symptoms during pregnancy and after birth., , , , and . BHI, page 547-550. IEEE, (2014)Synthetic data of the paper: "Quantification of feature importance in automatic classification of power quality distortions"., , , and . (October 2019)Personalizable smartphone application for detecting falls., , , , and . BHI, page 169-172. IEEE, (2014)Transfer Learning of Human Poses for Action Recognition., , , and . HBU, volume 8212 of Lecture Notes in Computer Science, page 89-101. Springer, (2013)A Real-Time QRS Complex Detector Based on Discrete Wavelet Transform and Adaptive Threshold as Standalone Application on ARM Microcontrollers., , and . ICBEA, page 1-6. IEEE, (2018)Adaptive tracking algorithms to improve the use of computing resources., , , and . IET Comput. Vis., 7 (6): 415-424 (2013)Guidelines to Design Smartphone Applications for People with Intellectual Disability: A Practical Experience., , , , and . ISAmI, volume 219 of Advances in Intelligent Systems and Computing, page 65-69. Springer, (2013)