(Georgia Institute of Technology, 2000-10)
Starner, Thad; Auxier, Jake; Ashbrook, Daniel; Gandy, Maribeth
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 it can be used by those with loss
of vision, motor skills, and mobility. 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 ±.1 Hz.