The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding window (FOSW) approaches are the most commonly used data-segmentation techniques in machine learning-based fall detection using accelerometer sensors. However. these techniques do not segment by fall stages (pre-impact. impact. https://hollandscountryclothinges.shop/product-category/horse-turnout-rugs/