 Research into the embodiment of robotic lower-limb exoskeletons has revealed important insights into how humans interact with these devices. Current approaches to controlling exoskeletons assume that they are controlled by an external agent, but embodiment suggests that the controller should instead be coordinated with the user's nervous system so that it can accurately reflect the input-output dynamics of the device. To measure embodiment, researchers must develop more sophisticated metrics than existing qualitative surveys. High-density electroencephalography, EEG, may offer a promising approach for measuring embodiment during human-machine interaction. By using mobile EEG technology, researchers will gain a better understanding of how humans perceive and interact with exoskeletons, which could lead to improved designs and prototypes. This article was authored by Rachel L. Hybit and Daniel P. Ferris.