_:naedc22425727445e9330c0ccdd05e7d9xb36
<http://schema.org/description>
"We propose a novel activity learning framework based on Edge Cloud\narchitecture for the purpose of recognizing and predicting human activities.\nAlthough activity recognition has been vastly studied by many researchers, the\ntemporal features that constitute an activity, which can provide useful\ninsights for activity models, have not been exploited to their full potentials\nby mining algorithms. In this paper, we utilize temporal features for activity\nrecognition and prediction in a single smart home setting. We discover activity\npatterns and temporal relations such as the order of activities from real data\nto develop a prompting system. Analysis of real data collected from smart homes\nwas used to validate the proposed method."
<https://deepai.org/profile/athman-bouguettaya>