Behavior Patterns
As the threat of international terrorism is projected globally, security agencies are giving increased attention to nonverbal communication which plays a growing role in the training of government, military, and law-enforcement personnel. The ability to see signs in irregular or anomalous behaviors and time patterns is seen as essential to ensuring public security. The training focuses on interpretation of "intention" movements, clothing signals, abnormal gaze patterns, emotional voice tones, and deception cues as well as seemingly meaningless grooming habits, facial expressions, and gestures. Motion energy maps show which areas of the face are activated to express given emotions. Integrated in observation tools they enable computers to recognize and respond to emotion cues of the face. A multi spectral digital camera image which displays the facial muscle contractions of specific emotions is analyzed for facial energy patterns used to read emotions, feelings, and moods. Additionally a subject's bioelectric field can be remotely monitored with special equipment to read the brain's frequency patterns of evoked potentials.
New surveillance systems use software that distinguishes between normal activity and suspicious behavior. Software can differentiate between people walking, talking and acting normally, and abnormal behavior such as a fight or someone collapsing, classifying features of human movement such as speed, direction, shape and pattern. Neural network software learns and remembers patterns to create new programs generated from a formula to classify normal or abnormal. Enforcing homogenization of social behavior patterns through comprehensive automatic classification of "normality" is in the interest not only of large scale psychological operations or technologies of political control but also appealing for global mass marketing of consumer products.