Bridging the gap between real-life data and simulated data by providing a highly realistic fall dataset for evaluating camera-based fall detection algorithms

Fall incidents are an important health hazard for older adults. Automatic fall detection systems can reduce the consequences of a fall incident by assuring that timely aid is given. The development of these systems is therefore getting a lot of research attention. Real-life data which can help evalu...

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Vydané v:	Healthcare technology letters Ročník 3; číslo 1; s. 6 - 11
Hlavní autori:	Baldewijns, Greet, Debard, Glen, Mertes, Gert, Vanrumste, Bart, Croonenborghs, Tom
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England The Institution of Engineering and Technology 01.03.2016
Predmet:	biomechanics cameras camera‐based fall detection algorithms data integration developed fall detection algorithms fall incidents geriatrics health hazard health hazards highly realistic fall dataset home setting medical computing real‐life data simulated data Special Issue: Decision Support for Person-Centred Healthcare fall incidents highly realistic fall dataset developed fall detection algorithms biomechanics simulated data cameras geriatrics home setting camera-based fall detection algorithms real-life data health hazard data integration medical computing health hazards
ISSN:	2053-3713, 2053-3713
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