A Method for Human Identification Using Static, Activity-Specific Parameters

In this dissertation, a method for human identification using static, activity-specific parameters is presented. This method recovers static body and stride parameters during the gait cycles of humans. Our technique is classified as a gait biometric; however, it does not directly analyze dynamic gait patterns, but uses the action of walking to extract relative body and stride parameters. This approach is an example of an activity-specific biometric: a method of extracting identifying properties of an individual or of an individual's behavior that is applicable only when a person is performing that specific action.