The need for healthcare services is growing, particularly in light of the COVID-19 epidemic's convoluted trajectory. This causes overcrowding medical facilities, making it difficult to manage, treat, and monitor patients' health. Therefore, a method remotely observe patient's behavior required, aid early warning treatment, reduce hospitalization patients with minor diseases. paper proposes new ...

The purpose is to explore a personalized and targeted training mode in football player training. Firstly, this work introduces the principle advantages of machine vision sensing. Secondly, from biomechanical point view, influence acceleration several joints joint angle on ball receiving effect analyzed. Furthermore, player’s in-game image collected using technology, pose data are preprocessed c...

The ultimate goal for an inference model is to be robust and functional in real life applications. However, training vs. test data domain gaps often negatively affect performance. This issue especially critical the monocular 3D human pose estimation problem, which collected a controlled lab setting. In this paper, we focus on alleviating negative effect of shift both appearance space by present...

This paper deals with the problem of estimating the effort required to maintain a static pose by human beings. The problem is important in developing effective pose classification as wells as in developing models of human attention. We estimate the human pose effort using two kinds of body constraints – skeletal constraints and gravitational constraints. The extracted features are combined toge...

Existing works on 2D pose estimation mainly focus a certain category, e.g. human, animal, and vehicle. However, there are lots of application scenarios that require detecting the poses/keypoints unseen class objects. In this paper, we introduce task Category-Agnostic Pose Estimation (CAPE), which aims to create model capable any object given only few samples with keypoint definition. To achieve...

Estimating the 3D pose and shape of a human body is an essential task for a variety of computer vision applications. A 3D model of a person helps to understand what the person is doing and how the person looks like. Previous work in this area already yields high quality models from a variety of image sources but requires several seconds of processing time. However, fast processing times are ess...

This thesis investigates the use of the computerized video monitoring in support of the diagnosis of obstructive sleep apnoea, which is characterized by repetitive obstruction of the upper airways during sleep and resulted in arterial oxyhaemoglobin desaturation, excessive arousals, unrefreshing sleep, excessive daytime sleepiness, poor health-related quality of life, hypertension and severe li...