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Detecting Near-Fall Events

Authors: Michael, Alexi;

Detecting Near-Fall Events

Abstract

Alexi Michael, UBC 3MT Semi-Finalist, presents their research on identifying fall risk by studying near-fall events. With the use of a sensor attached to the body, Alexi will be measuring and comparing the vibrations created in the human body during the motions experienced during near fall simulations and real-life daily motions. Alexi is completing their MASc in Biomedical Engineering under the supervision of Dr. Calvin Kuo.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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