Embedded programming and real-time signal processing of swimming strokes
The research outlined in this paper was conducted to allow real-time processing, transmission and presentation of data to swimming coaches and subsequently their swimmers in a training environment, focused on providing information relevant to strokes in free swimming. This was achieved using a wearable wireless sensor and embedded programming techniques, using accelerations involved in the swimming stroke to provide relevant features for coaches. Current methods used do not offer real-time response to coaches, which results in the lack of real-time feedback and significantly increased post-session analysis time. Filtering and signal processing algorithms are described here, which allow real-time data analysis to be embedded within a wireless sensor node. The system significantly reduces the time for processing acquired data and has delivered a novel monitoring device suitable for operation within the harsh environment of the pool.
© Copyright 2011 Sports Engineering. The Faculty of Health & Wellbeing, Sheffield Hallam University. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | technical and natural sciences endurance sports |
| Tagging: | Echtzeit wireless |
| Published in: | Sports Engineering |
| Language: | English |
| Published: |
2011
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| Online Access: | http://doi.org/10.1007/s12283-011-0070-7 |
| Volume: | 14 |
| Issue: | 1 |
| Pages: | 1-14 |
| Document types: | article |
| Level: | advanced |