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Deep Learning Based Human Activity Recognition Using Spatio-Temporal Image Formation of Skeleton Joints
2021
Applied Sciences
Human activity recognition has become a significant research trend in the fields of computer vision, image processing, and human–machine or human–object interaction due to cost-effectiveness, time management, rehabilitation, and the pandemic of diseases. Over the past years, several methods published for human action recognition using RGB (red, green, and blue), depth, and skeleton datasets. Most of the methods introduced for action classification using skeleton datasets are constrained in some
doi:10.3390/app11062675
fatcat:okj6lvqksnenxc7ka4oo6fj5oy