Visual Augmented Memory (VAM)

  • Authors:
  • Jonny Farringdon;Vanessa Oni

  • Affiliations:
  • -;-

  • Venue:
  • ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

Augmented Memory is widely regarded as a key wearable computing application. Retrieval cues are effective means for improving memory recall. The Visual Augmented Memory (VAM) application is a fully automated wearable implementation for the identification, storage, and subsequent retrieval and presentation of visual memory cues based upon face recognition.