Abstract
This paper presents a wireless sensor network approach for collecting rehabilitation data with exercising bilateral sanding units. Three wireless sensor nodes are attached to a conventional sanding unit for automatic data collections. Two wireless sensor nodes are desired for a set of sanding hand blocks, and the remaining one is used for the reciprocal exercise platform. Three wireless sensor nodes can be easily attached to conventional sanding units with less wiring and setup efforts for fast realizing data collection functions. Finally, a system prototype is produced in this project, and the bilateral accelerations, exercise strokes and gripping forces are also properly collected to validate our approaches.
| Original language | English |
|---|---|
| Title of host publication | 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest |
| Pages | 579-584 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2011 |
| Externally published | Yes |
| Event | 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, AK, United States Duration: 09 10 2011 → 12 10 2011 |
Publication series
| Name | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| ISSN (Print) | 1062-922X |
Conference
| Conference | 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 |
|---|---|
| Country/Territory | United States |
| City | Anchorage, AK |
| Period | 09/10/11 → 12/10/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Wireless sensor networks
- data collections
- medical mechatronics
- rehabilitation
Fingerprint
Dive into the research topics of 'A wireless sensor network approach for rehabilitation data collections'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver