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An energy-efficient algorithm for classification of fall types using a wearable sensor

Body Composition Assessment
Author
S. B. Kwon et al.
Used Parameters : BW
Publication Year : 2019
Country : Korea
Journal : IEEE Access
Objective: To mitigate damage from falls, it is essential to provide medical attention expeditiously. Many previous studies have focused on detecting falls and have shown that falls can be accurately detected at least in a laboratory setting. However, a very few studies have classified the different types of falls. To this end, in this paper, a novel energy-efficient algorithm that can discriminate the five most common fall types was developed for wearable systems. Methods: A wearable system with an inertial measurement unit sensor was first …
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