Mahato, VivekVivekMahatoJohnston, WilliamWilliamJohnstonCunningham, PádraigPádraigCunningham2021-06-222021-06-222019 Sprin2019-08-09978-3-030-29249-2http://hdl.handle.net/10197/12287The 27th International Conference (ICCBR 2019), Otzenhausen, Germany, 8-12 September 2019The Y-Balance Test (YBT) is a dynamic balance assessment commonly used in sports medicine. In this research we explore how data from a wearable sensor can provide further insights from YBT performance. We do this in a Case-Based Reasoning (CBR) framework where the assessment of similarity on the wearable sensor data is the key challenge. The assessment of similarity on time-series data is not a new topic in CBR research; however the focus here is on working as close to the raw time-series as possible so that no information is lost. We report results on two aspects, the assessment of YBT performance and the insights that can be drawn from comparisons between pre- and post- injury performance.enThe final publication is available at www.springerlink.com.Wearable sensorsY balance testTime series dataConference Publication10.1007/978-3-030-29249-2_1916/RC/3872https://creativecommons.org/licenses/by-nc-nd/3.0/ie/