… In order to recognize the activities of daily life in smart homes, … features are made after
segmentation of the dataset into … data analysis has also proven efficient for HAR in smart homes. …

… the actions, characteristics, and goals of one or more … human behavior recognition through
a mobile dataset [36] to … Since the use of accuracy only is insufficient for analysis and …

… activities in multitenant smart home scenarios. We propose a sensor data contribution significance
analysis … sensors in different datasets to the activity recognition standard as calculated …

… to get reliable results for the movements we are analyzing, as they … template selection for
human activity recognition. In Proceedings … analysis of the impact of features on human activity …

… In this paper, we propose a behavioral activity recognition … on a smart phone is to analyse
the model in real-time. This … We will also develop our dataset to include complex activities, …

… dataset that did not perform all the activities included in the … Component Analysis (PCA) [64]
over the features presented in … -driven approach to activity recognition in smart homes,’’ IEEE …

… In this section, we analyze literature studies in terms of … a smart home represents a key
technology to develop smart … to select the useful features in MAR in the smart home in order to …

… for different activities in HAR, analyze the impact that each … , such as smart health services
and smart home applications. … of different datasets, we also use the downsampling method …

… There are also evidence that smart home installations with … are many available datasets used
on activity recognition, the majority … and then the activities recognized are further analyzed. …

… offline activity recognition methods that use classification … analysis of activity assessment
approaches and dataset used … To our best knowledge, this is the only dataset that can be used …