Abstract: A mobility assessment determines the abnormalities and impairments in a subject's movements by administering mobility and mobility impairment active logic engine algorithms to the video data of the subject's movement. The determined abnormalities and impairments are administered to known norms for a particular test to determine if the abnormalities and impairments are normal or not. The determined abnormalities and impairments can be administered to known norms for brain concussions or injuries and for Multiple Sclerosis or Alzheimer's Dementia to classify whether or not the concussion, injury, Multiple Sclerosis, Alzheimer's Dementia condition exists and to determine the condition's phase and recovery rehabilitation progress. The results may be administered to determine a treatment regime to restore the subject's health thereby cure the condition.

Abstract: Revealed is an intelligent camera security monitoring, fuzzy logic analyses and information reporting system that includes video/audio camera, integrated local controller, interfaced plurality of sensors, and input/output means, that collects and analyses data and information observations from a viewed scene and communicates these to a central controller. The central controller with fuzzy logic processor receives, stores these observations, conducts a plurality of computer analyses techniques and technologies including face, voice, lip reading, emotion, movement, pattern recognition and stress analysis to determine responses and potential threat of/by a person, crowd, animal, action, activity or thing. This invention recognizes possible terrorists, criminals, enraged or dangerous persons and also can identify a person's level of intoxication or impairment by alcohol or drugs via a new “Visual Response Measure”.

Abstract: A mobility assessment detects abnormalities in motion using a stagger algorithm. The detected abnormalities are compared to known norms for a particular test to determine if the abnormalities are normal or not. The comparison can be made for abnormalities associated with different diseases and illnesses to classify whether or not the condition exists and its phase. The results may be used to generate a treatment regime.

Abstract: A mobility assessment detects abnormalities in motion using a stagger algorithm. The detected abnormalities are compared to known norms for a particular test to determine if the abnormalities are normal or not. The comparison can be made for abnormalities associated with different diseases and illnesses to classify whether or not the condition exists and its phase. The results may be used to generate a treatment regime.