Design and implementation of a deep learning based fall behaviour recognition system

Falls have become one of the common health risks in the daily lives of older persons. Falls may not only lead to serious physical injuries, such as bone fractures and head trauma but also have a profound impact on the psychological and social functions of the elderly. Given that fall behaviours are usually accompanied by specific body postures and movement patterns, a deep learning-based fall behaviour recognition system has great research value and practical application prospects. Analyse the recognition of fall behaviour based on deep learning. This paper mainly introduces and analyses the fall behaviour recognition of human body through a convolutional neural network and target detection algorithm. The research presented herein aims to contribute a novel perspective to solution in the field of fall behaviour recognition and provide a strong guarantee for the regarding their safety from falls. Meanwhile, the research results in this paper can also provide useful references and lessons for other behaviour recognition tasks in similar scenarios.