Data-driven combinatorial optimization for sensor-based assessment of near falls
Alla R. Kammerdiner () and
Andre N. Guererro
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Alla R. Kammerdiner: New Mexico State University
Andre N. Guererro: New Mexico State University
Annals of Operations Research, 2019, vol. 276, issue 1, No 6, 137-153
Abstract:
Abstract Falls represent a considerable public health problem, especially in older population. We describe and evaluate data-driven operations research models for detection and situational assessment of falls and near falls with a system of wearable sensors. The models are formulated as instances of the multidimensional assignment problem. Our computational studies provide some initial empirical evidence of the potential usefulness of this new application of the multidimensional assignment problem.
Keywords: The multidimensional assignment problem; Falls and near falls; Systems of wearable sensors (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10479-017-2585-1
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