Approaching on-line estimation of swimming instantaneous velocity using a wearable IMU

The goal of this study is to assess the possibility of accurate on-line instantaneous velocity estimation in swimming. Having an on-line tool, coaches could provide immediate feedback about performance to trainees. More importantly, by on-line monitoring of velocity anomaly in open-water swimming, the safety of events can be significantly improved. We have previously introduced a method, using a wearable IMU, to estimate swimming instantaneous velocity, though information about pool length and a complete lap data were needed to correct the integration drift of IMU signals. In the present study, we used our previous algorithm for cycle’s mean velocity estimation, as a criterion for drift correction in instantaneous velocity estimation without the knowledge about pool length. Using a simple within-cycle linear drift model, the relative error of the algorithm tested on 8 swimmers is 0.1±15.4%. As a result, the instantaneous velocity is available at the end of every cycle.


Published in:
Proceedings of the 13th international symposium on 3D analysis of human movement (3D AHM), 176-179
Presented at:
International symposium on 3D analysis of human movement, Lausanne, Switzerland, July 14-17, 2014
Year:
2014
ISBN:
9782880748562
Keywords:
Laboratories:




 Record created 2014-07-18, last modified 2018-09-13

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