Effectively detecting suspicious, hostile, and terrorist activities and human threats in both populated urban environments and in remote terrains has become increasingly important to US homeland security and military operations in asymmetric wars. A virtual terrorist recognition training system based on modeling and simulation can be used to train operators to recognize human threats from various ranges, viewing angles, and resolutions. However, human modeling and simulation technology currently used in these training tools lacks sufficient biofidelity and thus is not able to describe and demonstrate the nuances of human activities and human signatures that are indicative of threat. Therefore, the Air Force Research Laboratory is developing a software tool called the Biofidelic Virtual Terrorist (BVT). By using advanced dynamic 3-D human modeling technology, the BVT replicates and creates human threat activities in 3-D space. The development emphases of the BVT were placed on the biofidelity of human body shape and motion, representation and immersion of biosignatures of human threats, fidelity and reality of virtual environments or scenarios, and the interaction between humans and environments. In addition to being used as a training tool, the BVT can be used as a test bed for evaluating the performance of tools developed for automatic human threat detection. The BVT can also be used to generate data for rare activities and scenarios which otherwise would be impossible or hard to acquire in the real world.