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- W2090786360 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 fall-detection 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 in-hardware 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%." @default.
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- W2090786360 date "2012-06-06" @default.
- W2090786360 modified "2023-10-14" @default.
- W2090786360 title "Fall-detection simulator for accelerometers with in-hardware preprocessing" @default.
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- W2090786360 doi "https://doi.org/10.1145/2413097.2413149" @default.
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