Simultaneous Localization and Mapping (SLAM) has been a research focus for many years within the robotics community. Leveraging that expertise, we adapted SLAM algorithms to run on a body-worn sensing and computing package. The user wears a Hokuyo LIDAR, Microsoft Kinect, Microstrain IMU, battery, and laptop. A 2D map is built in real-time using iSAM and transmitted wirelessly to a remote workstation. We address issues unique to a body-worn device, including sensor roll and pitch (as a result of the user's walk) and investigated calibration techniques for non-rigidly mounted sensors.