Wrist-worn wearable devices provide rich sets of pulsatile physiological data under various modalities and circumstances. An unexploited capability is that the pulsatile physiological time series collected by wrist-worn wearable devices can be used for recovering internal brain dynamics. This Cyber Physical System research project integrates computational algorithms for state-space estimation with wrist-worn wearable devices that sense the physiological signals to present wearable machine-interface architectures related to mental stress.

Overview: The existence of complex interactions and interdependencies in cyber-physical critical infrastructures is well known, but a poorly understood phenomena. As an example, a smart grid (SG) is dependent on the cyber infrastructure for advanced metering, data collection/analytics and control, and this dependency brings in serious security and vulnerability implications.