Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the corner is about to cross. Or consider an investment algorithm trading ...

The You Only Look Once (YOLO) models have been widely used previously for designing and implementing human fall detection systems. This research presents an improved YOLOv8 model for fast and highly ...

Real-Time human fall detection using a lightweight pose estimation technique. In International Conference on Computational Intelligence in Communications and Business Analytics (pp. 30-40).

Overview This project provides the implementation for the paper, Federated Learning for Hierarchical Fall Detection and Human Activity Recognition, which presents a federated learning framework for ...

Background: Fall detection is of great significance in safeguarding human health. By monitoring the motion data, a fall detection system (FDS) can detect a fall accident. Recently, wearable ...

In addition, ready-to-use temporal labels of the fall time based on synchronized motion videos were published along with the dataset. Those enhancements make KFall the first public dataset suitable ...