PREDICTION OF FIGHT OR FLIGHT RESPONSE USING ARTIFICIAL NEURAL NETWORKS

The modern society has posed several threats to the public. Public security is declining with increasing anti-social behaviour. Cases of rape and terrorist attacks have become increasingly common and there is a strong demand for a security system to control such modalities. Anti-social behaviour is a key issue of public concern. Public perceptions, however, have been improving recently. The vital response to physical and emotional danger is called fight or flight response. It is a basic survival mechanism occurring in response to a specific stimulus, such as pain or the threat of danger. This study analyses various physiological changes associated with fight or flight response, and proposes an approach to predict measures that determines whether an individual is under fear caused due the perceived threat. By monitoring and identifying the fear measure, it is possible to prevent or reduce the damage to the society by activities such as rape and terrorist attacks.