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 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 world population is ageing and a key hazard to healthy ageing is falls. The consequences of falls can be costly to health and social care systems. Falls can be prevented by continuously monitoring
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
The dataset contains complex signals coming from a mmWave FMCW radar system. Signal were acquired during a measurement campaign taken indoor and aimed to assess people’s different ways of walking.
