The database consists of falls and activities of daily living performed by two persons (person1 and person2) – each person performed all activities twice. Hence, the database consists of 72 video sequ
Our Object Detection model with more than 150 participants in different poses: standing, sitting, bending and laying. The model is well balanced and has a Precision of 94.7%, Recall of 72.3% and mAP o
This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Eve
