Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study.

Human activity recognition (HAR) is an important research problem in computer vision. This problem is widely applied to building applications in human-machine interactions, monitoring, etc. Especially, HAR based on the human skeleton creates intuitive applications.

YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos.

Hand detection and classification is a very important pre-processing step in building applications based on three-dimensional (3D) hand pose estimation and hand activity recognition. To automatically limit the hand data area on egocentric vision (EV) datasets, especially to see the development and performance of the "You Only Live Once" (YOLO) network over the past seven years, we propose a study comparing the efficiency of hand detection and classification based on the YOLO-family networks. This study is based on the following problems: (1) systematizing all architectures, advantages, and disadvantages of YOLO-family networks from version (v)1 to v7; (2) preparing ground-truth data for pre-trained models and evaluation models of hand detection and classification on EV datasets (FPHAB, HOI4D, RehabHand); (3) fine-tuning the hand detection and classification model based on the YOLO-family networks, hand detection, and classification evaluation on the EV datasets.

Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications.

Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In the past five years, the number of CNN-based studies for 3D human pose estimation has been numerous and has yielded impressive results. However, studies often focus only on improving the accuracy of the estimation results.

Bioglue endovascular treatment of fusiform aneurysm rupture of the distal anterior temporal artery of the middle cerebral artery: a case report.

The treatment of a ruptured fusiform distal anterior temporal artery aneurysm is a challenge for the stroke physician, however surgical closure and coil endovascular intervention are options. A total blockage can result in memory problems as well as object-related questions. We'd like to provide the clinical example of a 56-year-old woman with many underlying medical illnesses who was admitted to the hospital with a grade 7/10 headache and a Glasgow score of 15, but no focal neurological deficits, and was diagnosed with a ruptured distal temporal artery aneurysm.