mFall, a mmWave radar based fall detection dataset. The dataset contains fall and non-fall samples from different environments, different orientations, and different poses.
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
The files contain the mobility traces generated by a group of 17 experimental subjects that emulated a set of predetermined ADL (Activities of Daily Life) and falls. The traces are aimed at evaluating