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.

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The primary aim of work presented within this paper was to establish characteristics seen in acceleration which pertained to phases of the tumble turn. To achieve this, a subject performed a 400m freestyle swim as part of their normal training session during which time they were asked to wear a wireless accelerometer in the small of their back. In addition video data of the turns was captured using a fixed underwater camera. Acceleration data was aligned with video to enable turning phases to be distinguished to facilitate more comprehensive analysis of the turn.

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