Mobile and wearable devices have enabled numerous applications, including activity tracking,
wellness monitoring, and human–computer interaction, that measure and improve our …

… action recognition based on a dynamic adaptive graph convolutional network, which can
realize the action … In recent years, a lot of research works on action recognition and prediction in …

… method are normally used for behavior recognition or prediction through formal logical
reasoning, … Towards the energy efficiency of behavior recognition based on a single sensor (eg, …

… to automatically identify unusual actions that occur at normal … , behavioral feature extraction,
and behavioral analysis and … -scale prediction, and multiscale prediction are introduced …

… After that, they performed the classification of each action units of the set using bagging
of decision trees. Finally, the prediction of which action belongs to each activity is performed. …

… In Table I we list several recent works on early action prediction and compare the methods
… Li, “Action recognition based on joint trajectory maps using convolutional neural networks,” …

… the hidden sequential pattern and predict the status of activity based on the … as a unified
framework for single instance training and efficient spatial temporal modeling of human actions. …

… exploited for behavior analysis [18, 19… prediction performance of the egocentric multimodal
activity recognition with the external knowledge. We propose a knowledgeaware prediction …

… Various research challenges in HAR require efficient techniques to address feature
extraction methods, future action prediction, overlapping activity classification and group activity …

… [191] proposed a method of skeleton-based action prediction, which aims to predict actions
… Yi, and GZ Wang, Human activity recognition based on 3D skeletons and MCRF model, (in …