MIDL 2021

 
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Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Fall-detection Simulator for accelerometers with in-hardware preprocessing

TitelFall-detection Simulator for accelerometers with in-hardware preprocessing
Publication TypeConference Paper
Year of Publication2012
AuthorsFudickar S., Karth C., Mahr P., Schnor B.
Conference NameACM International Conference Proceeding Series
Date Published2012
ISBN Number9781450313001
Abstract

Mobile fall-detection systems that use accelerometers (as the ADXL 345) with data pre-processing capabilities, enable processors to remain longer in low power modes and therefore can achieve extended device lifetimes. Since falldetection on these accelerometers is partially executed in hardware, the development and comparison of fall-detection algorithms requires direct evaluation on the hardware and increases complexity. We introduce a fall-detection simulator for the development and comparison of fall-detection algorithms for accelerometers with and without partial inhardware pre-processing. In addition comprehensive records of fall-situations and daily living activities were generated for the simulator from recording movements. With the help of the simulator, the sensitivity of a given fall-detection algorithm could be improved from 33% to 93%.

DOI10.1145/2413097.2413149
Erstellt am 22. November 2021 - 15:56 von Fudickar.

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