The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring

  • Authors:
  • Maribeth Gandy;Thad Starner;Jake Auxier;Daniel Ashbrook

  • Affiliations:
  • -;-;-;-

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

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Abstract

In this paper, we present a wearable device for control of home automation systems via hand gestures. This solution has many advantages over traditional home automation interfaces in that those with loss of vision, motor skills, and mobility can use it. By combining other sources of context with the pendant, we can reduce the number and complexity of gestures while maintaining functionality. As users input gestures, the system can also analyze their movements for pathological tremors. This information can then be used for medical diagnosis, therapy, and emergency services. Currently, the Gesture Pendant can recognize control gestures with an accuracy of 95% and user-defined gestures with an accuracy of 97% it can detect tremors above 2HZ within plus or minus 0.1 Hz.