… Action recognition based on skeleton data has recently witnessed increasing attention and
progress. State-of-theart approaches adopting Graph Convolutional networks (GCNs) can …

… activity recognition based on the dynamic Bayesian network model. Furthermore, Choi and
Savarese [4] presented a coherent, discriminative framework … predictions and measurements. …

… In the behavioral analysis industry, HAR is used to monitor and identify family behavior [8].
In the … With these advantages, human activity recognition based on wearable sensors has …

… performance analysis of the proposed method with and without DAFU network followed by
EfficientNetB0 backbone for activity … Here, the prediction of the proposed method and their …

… recognizing students’ abnormal actions, and dangerous movements can be predicted by …
behavior dependence and context clues (BCCLR) for skeleton-based action recognition based …

… many practical applications such as behavioural analysis [2], … by activity recognition based
on the estimated key points [20]… , the prediction errors from both pose estimation and activity …

… proper predictor selection and data normalization are proven critical for the performance of
… Human activity recognition based on data fusion of fmcw radar and image. In Proceedings …

… is the core of human behavior analysis and essential for many … , which in turn can be used
for predicting and preventing … of different sensors for ADLs and FGAs recognition based on …

… behavior analysis from a live video stream is sought after in practical applications, where
the activity … Human action recognition based on Kinect and PSO-SVM by representing 3D …

… activity recognition Patel & Shah [41] 2019 A review of several activity and behaviour analysis
… Data collection, feature encoding, model optimization, and prediction comprise the activity …