Methods, systems, and apparatuses are provided for detecting fall events of a person. Fall events are falls that are likely to occur, are occurring, or have occurred. Fall detectors and fall detector systems detect fall events of the person. Data relating to the person are received from sensors and analyzed to perform fall detection. Data relating to the person includes accelerations and forces experience by the person, changes in body position of the person, movements of the person, and body signals and sounds of the person. Neurological tests are administered to determine levels of responsiveness and awareness of the person in response to detections. Warnings are issued, and safety measures are deployed, in response to detections. Data relating to fall events are recorded and logged. Fall event histories based upon the logged data and fall detection algorithm performance are used to improve future fall detection and prediction.
