A statistical study was made using head kinematic response data from a set of 79 human -X impact acceleration tests conducted at the Naval Biodynamics Laboratory. Five volunteer subjects were tested successively in three configurations:​ (a) no helmet, (b) helmet only, and (c) helmet with weights. The peak acceleration levels ranged from 3g to 10g. Three kinematic responses, the X and Z components of the linear acceleration and the Y axis angular acceleration, were analyzed. These acceleration curves were fitted with polynomial splines using least squares techniques. The fitted peaks and times to peak were then regressed against sled acceleration, initial head orientation and head/neck anthropometric parameters. Statistical measures of goodness of fit were highly significant. The regression equations were used to simulate the effects of varying individual parameters (such as total head mass, peak sled acceleration, neck length, etc.).

The results demonstrate an analytical approach for extrapolating human head/neck kinematics to levels and types of exposure where injury would be expected. Future applications of this modeling technique include analysis of the effects of mass distribution parameters on head/neck dynamic response to +Z vertical impact acceleration.