| Title: | The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring |
| Author: | Starner, Thad ; Auxier, Jake ; Ashbrook, Daniel ; Gandy, Maribeth |
| 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 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. |
| Description: |
Presented at the 4th IEEE International Symposium on Wearable Computing (ISWC 2000), Atlanta, GA., October 2000. ©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Type: | Proceedings |
| URI: | http://hdl.handle.net/1853/29822 |
| Date: | 2000-10 |
| Contributor: |
Georgia Institute of Technology. College of Computing
Georgia Institute of Technology. Graphics, Visualization and Usability Center Georgia Institute of Technology. Interactive Media Technology Center |
| Publisher: | Georgia Institute of Technology |
| Subject: |
Gesture pendant
Gesture recognition Infrared Tremors Wearable computers |
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| gesture_pendant.pdf | 197.0Kb |
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