Winter Related Fall Injury

Winter-related falls, particularly among the elderly, pose a significant public health concern, motivating research into automated fall detection and prevention systems. Current research focuses on developing real-time fall detection algorithms using computer vision techniques, often employing convolutional neural networks (CNNs) and recurrent neural networks (RNNs), sometimes in ensemble models, to analyze video or image data from various sources, including wearable sensors and drones. These advancements aim to improve elderly care, enhance safety in public spaces, and contribute to a better understanding of fall biomechanics through improved pose estimation and fall prediction models for both humans and robots.