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PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty.

Riku ArakawaHiromu YakuraVimal MollynSuzanne NieEmma RussellDustin P. DeMeoHaarika A. ReddyAlexander K. MaytinBryan T. CarrollJill Fain LehmanMayank Goel
Published in: Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (2022)
Keyphrases
  • state transition
  • object tracking
  • user driven
  • real time
  • image sequences
  • end users
  • appearance model
  • databases
  • bayesian networks
  • query language
  • data sources
  • context aware
  • daily life