Wearable-Machine Interface Architectures

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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.

  • sparse recovery
  • state estimation
  • Wearable devices
  • 1755780
  • 2018
  • CPS-PI Meeting 2018
  • Poster
  • Posters (Sessions 8 & 11)
Submitted by Rose Faghih on