作者: Julien Pansiot , Benny Lo , Guang-Zhong Yang
DOI: 10.1109/BSN.2010.11
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摘要: The recent maturity of body sensor networks has enabled a wide range applications in sports, well-being and healthcare. In this paper, we hypothesise that single unobtrusive head-worn inertial can be used to infer certain biomotion details specific swimming techniques. sensor, weighing only seven grams is mounted on the swimmer's goggles, limiting disturbance minimum. Features extracted from recorded acceleration such as pitch roll angles allow recognise type stroke, well basic indices. system proposed represents non-intrusive, practical deployment wearable sensors for performance monitoring.