We have created a system for identifying people based on their footstep force profiles and have tested its accuracy against a large pool of footstep data. This floor system may be used to transparently identify users in their everyday living and working environments. We have created user footstep models based on footstep profile features and have been able to achieve a recognition rate of 93 % using this feature-based approach. We have also shown that the effect of footwear is negligible on recognition accuracy.