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Fourth International Symposium on Wearable Computers (ISWC'00)
The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring
Atlanta, Georgia
October 18-October 21
ISBN: 0-7695-0795-6
Maribeth Gandy, Georgia Institute of Technology
Thad Starner, Georgia Institute of Technology
Jake Auxier, Georgia Institute of Technology
Daniel Ashbrook, Georgia Institute of Technology
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.
Index Terms:
wearable computing, gesture recognition, home automation, enabling technology, tremor, medical monitoring, input device, computer vision
Citation:
Maribeth Gandy, Thad Starner, Jake Auxier, Daniel Ashbrook, "The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring," iswc, pp.87, Fourth International Symposium on Wearable Computers (ISWC'00), 2000
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