2015
DOI: 10.14257/ijseia.2015.9.6.06
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The User Activity Reasoning Model in a Virtual Living Space Simulator

Abstract: Smart homes identify the implicit intentions and needs of occupants through

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Cited by 10 publications
(6 citation statements)
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“…Nevertheless, a summary p -value statistic was not provided per each ADL so that disparities can be further categorized as significant or non-significant, thereby supporting the use of models approximating the synthetic observations to a more realistic behaviour as this study does. Other important related efforts described in Alshammari et al [ 17 ], Park et al [ 63 ], Synnott et al [ 64 ], Ariani et al [ 65 ], and McGlinn et al [ 66 ] did not present any comparative analysis between synthetic and real data from ADLs in smart homes.…”
Section: Resultsmentioning
confidence: 99%
“…Nevertheless, a summary p -value statistic was not provided per each ADL so that disparities can be further categorized as significant or non-significant, thereby supporting the use of models approximating the synthetic observations to a more realistic behaviour as this study does. Other important related efforts described in Alshammari et al [ 17 ], Park et al [ 63 ], Synnott et al [ 64 ], Ariani et al [ 65 ], and McGlinn et al [ 66 ] did not present any comparative analysis between synthetic and real data from ADLs in smart homes.…”
Section: Resultsmentioning
confidence: 99%
“…For example, Park et al [34] proposed CASS, a simulator that helps designers detect inconsistencies in a defined set of rules related to sensor readings, occupants' locations, and actuators. Users interact with the simulator through an interface to manipulate the simulated environment.…”
Section: Simulatorsmentioning
confidence: 99%
“…Park et al [ 32 ] presented a virtual space simulator that can generate inhabitants’ data for classifications problems. In order to model inhabitant activities in 3D, the simulator was built using Unity3D [ 33 ].…”
Section: Related Workmentioning
confidence: 99%