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 userdefined gestures with an accuracy of 97% It can detect tremors above 2HZ within ¦.1 Hz.
Figure 1. A range of textile-embedded 3D printed objects fabricated using our techniques-a box with a rolling lid containing a mesh of polyester and strings for actuation (a); a functional watchband printed on a polyester mesh (b); a figure with a pressure-sensitive head that controls an embedded displacement sensor containing a mesh of nylon and spandex fibers (c); a 22 inch (56 cm) crown printed on a single piece of felt larger than the print bed (d).
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