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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nanda, P. Smith, A. Gebregiorgis, A. Brown, E.E. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical Engineering, Rochester Institute of Technology, Rochester, NY, USA (Nanda, P.; Smith, A.; Gebregiorgis, A.) || Department of Electrical Engineering and director of the Biomechatronic Learning Lab, Rochester Institute of Technology, Rochester, NY, USA (Brown, E.E.) |
| Abstract | Human robot interaction is a new and rapidly growing field and its application in the realm of rehabilitation and physical care is a major focus area of research worldwide. This paper discusses the development and implementation of a wireless motion capture system for the human arm which can be used for physical therapy or real-time control of a robotic arm, among many other potential applications. The system is comprised of a mechanical brace with rotary potentiometers inserted at the different joints to capture position data. It also contains surface electrodes which acquire electromyographic signals through the CleveMed BioRadio device. The brace interfaces with a software subsystem which displays real time data signals. The software includes a 3D arm model which imitates the actual movement of a subject’s arm under testing. This project began as part of the Rochester Institute of Technology’s Undergraduate Multidisciplinary Senior Design curriculum and has been integrated into the overall research objectives of the Biomechatronic Learning Laboratory. |
| Starting Page | 7135 |
| Ending Page | 7138 |
| File Size | 441414 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424432967 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2009.5332459 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Extremities Rehabilitation robotics Educational robots Human robot interaction Medical treatment Real time systems Motion control Robot control Control systems Application software |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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