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
Mobile information technology may support the collection of standardised data in a timely manner to inform and improve decision-making for polio programming and response. We utilised mobile smartphone
The CSV data files in the ZIP archive are analytical datasets extracted and processed from the RUG-EGO-FALL dataset, intended to support fall detection research using wearable first-person perspective
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
