2020
DOI: 10.3390/rs12050771
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Simulated Data to Estimate Real Sensor Events—A Poisson-Regression-Based Modelling

Abstract: Automatic detection and recognition of Activities of Daily Living (ADL) are crucial for providing effective care to frail older adults living alone. A step forward in addressing this challenge is the deployment of smart home sensors capturing the intrinsic nature of ADLs performed by these people. As the real-life scenario is characterized by a comprehensive range of ADLs and smart home layouts, deviations are expected in the number of sensor events per activity (SEPA), a variable often used for training activ… Show more

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Cited by 2 publications
(1 citation statement)
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“…Simulation tools are an alternative for tackling these barriers; nonetheless, an ongoing challenge is their ability to generate synthetic data representing the real SEPA. Hence, the contribution by Ortíz-Barrios et al [2] "Simulated Data to Estimate Real Sensor Events-A Poisson-Regression-Based Modelling" proposes the use of Poisson regression modelling for transforming simulated data in a better approximation of real SEPA. First, synthetic and real data were compared to verify the equivalence hypothesis.…”
Section: Modelsmentioning
confidence: 99%
“…Simulation tools are an alternative for tackling these barriers; nonetheless, an ongoing challenge is their ability to generate synthetic data representing the real SEPA. Hence, the contribution by Ortíz-Barrios et al [2] "Simulated Data to Estimate Real Sensor Events-A Poisson-Regression-Based Modelling" proposes the use of Poisson regression modelling for transforming simulated data in a better approximation of real SEPA. First, synthetic and real data were compared to verify the equivalence hypothesis.…”
Section: Modelsmentioning
confidence: 99%