Fall-Detection Algorithm Using Plantar Pressure and Acceleration Data

In this study, experiments are conducted for four types of falls and eight types of activities of daily living with an integrated sensor system that uses both an inertial measurement unit and a plantar-pressure measurement unit and the fall-detection performance is evaluated by analyzing the acquire...

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Vydané v:	International journal of precision engineering and manufacturing Ročník 21; číslo 4; s. 725 - 737
Hlavní autori:	Lee, Chang Min, Park, Jisu, Park, Shinsuk, Kim, Choong Hyun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Seoul Korean Society for Precision Engineering 01.04.2020 Springer Nature B.V
Predmet:	Algorithms Data acquisition Data points Decision analysis Decision trees Engineering Fall detection Industrial and Production Engineering Inertial platforms Lead time Materials Science Performance evaluation Plantar pressure Pressure measurement Regular Paper Center of pressure Force sensing resistor Activities of daily living Inertial measurement unit Decision tree Fall detection
ISSN:	2234-7593, 2005-4602
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