Various investigations have shown that driver fatigue is the main cause of traffic accidents. Research on use computer vision techniques to detect signs from facial actions, such as yawning, has demonstrated good potential. However, accurate and robust detection yawning difficult because complicated actions expressions drivers in real driving environment. Several same mouth deformation yawning. Thus, a novel approach detecting based subtle action recognition proposed this study alleviate...

Human motion retrieval plays an important role in many data based applications. In the past, researchers tended to use a single type of visual feature as representation. Because different describes aspects about data, and they have dissimilar discriminative power with respect one particular class human motion, it led poor performance. Thus, would be beneficial combine multiple features together for this article, we present Adaptive Multi-view Feature Selection (AMFS) method retrieval....

Inspired by the development of matrix completion theories and algorithms, a low-rank based motion capture (mocap) data refinement method has been developed, which achieved encouraging results. However, it does not guarantee stable outcome if we only consider property data. To solve this problem, propose to exploit temporal stability human convert mocap problem into robust where both structure properties as well noise effect are considered. An efficient optimization derived from augmented...

There are three minimally invasive methods for the management of large upper impacted ureteral stones: mini-percutaneous nephrolithotomy (MPCNL), transurethral ureteroscope lithotripsy (URSL), and retroperitoneal laparoscopic ureterolithotomy (RPLU). This study aimed to compare MPCNL, URSL, RPLU, evaluate which one is best choice stones.Between January 2012 December 2015, at Department Urology, Huai'an First People's Hospital, 150 consecutively enrolled patients with a stone (>15 mm) were...

Underground gas storage (UGS) is a critical component within the natural industry's value chain, encompassing production, distribution, storage, and marketing. Hence, it vital for national energy supply security, economic stability, people's livelihood. Evaluating UGS' sealing capacity essential its safe construction operational efficiency. This involves evaluating both static of traps during hydrocarbon accumulation dynamic UGS under intensive injection withdrawal, alternating loads. study...

Human motion prediction is a challenging problem due to the complicated human body constraints and high-dimensional dynamics. Recent deep learning approaches adopt RNN, CNN or fully connected networks learn features which do not exploit hierarchical structure of anatomy. To address this problem, we propose convolutional autoencoder model for with novel encoder incorporates 1D layers topology. The new network more efficient compared existing models respect size speed. We train generic on...

Multi-frame human pose estimation has long been an appealing and fundamental issue in visual perception. Owing to the frequent rapid motion occlusion videos, this task is extremely challenging. Current state-of-the-art methods seek model spatiotemporal features by equally fusing each frame local sequence, which weakens target information. In addition, existing approaches usually emphasize more on deep while ignoring detailed information implied shallow feature maps, resulting dropping of...

Despite the groundbreaking success of diffusion models in generating high-fidelity images, their latent space remains relatively under-explored, even though it holds significant promise for enabling versatile and interpretable image editing capabilities. The complicated denoising trajectory high dimensionality make extremely challenging to interpret. Existing methods mainly explore feature U-Net Diffusion Models (DMs) instead itself. In contrast, we directly investigate via Singular Value...

Motion capture is an important technique with a wide range of applications in areas such as computer vision, animation, film production, and medical rehabilitation. Even the professional motion systems, acquired raw data mostly contain inevitable noises outliers. To denoise data, numerous methods have been developed, while this problem still remains challenge due to high complexity human diversity real-life situations. In paper, we propose data-driven-based robust denoising approach by...

Background Virtual-reality (VR) based simulation techniques offer an efficient and low cost alternative to conventional surgery training. This article describes a VR training assessment system in laparoscopic rectum surgery. Methods To give realistic visual performance of interaction between membrane tissue tools, generalized cylinder collision detection multi-layer mass–spring model are presented. A dynamic is also designed for hierarchy evaluation. Results With this simulator, trainees can...

Abstract We determined the internal structure and mineral composition of Yingxiu‐Beichuan fault zone at Zhaojiagou exposure measured frictional transport properties rocks collected to gain a better understanding dynamic weakening mechanisms during seismic motion. This is major in Longmenshan system that caused 2008 Wenchuan earthquake. The studied located midway along surface rupture, close where largest coseismic displacement occurred. High‐velocity friction experiments reveal exponential...

Human motion denoising is an indispensable step of data preprocessing for many based applications. In this paper, we propose a data-driven human method that sparsely selects the most correlated subset bases clean reconstruction. Meanwhile, it takes statistic property two common noises, i.e., Gaussian noise and outliers, into account in deriving objective functions. particular, our firstly divides each pose five partitions termed as poselets to gain much fine-grained representation. Then,...

The objective of motion capture (mocap) data completion is to recover missing measurement the body markers from mocap. It becomes increasingly challenging as ratio and duration mocap grow. Traditional approaches usually recast this problem a low-rank matrix approximation based on nuclear norm. However, norm defined sum all singular values not good rank data. This paper proposes novel approach solve by adopting new norm, called truncated An efficient iterative algorithm designed augmented...

Driver fatigue and inattention have long been recognized as one of the main contributing factors in traffic accidents. Therefore, development intelligent driver assistance systems, which provides automatic monitoring driver's vigilance, is an urgent challenging task. This paper presents a novel system for video-based driving behavior recognition. The fundamental idea to monitor hand movements use these predictors safe/unsafe behavior. In comparison previous work, proposed method utilizes...

Abstract Estimation of 3D body shapes from dressed‐human photos is an important but challenging problem in virtual fitting. We propose a novel automatic framework to efficiently estimate under clothes. construct database naked and dressed pairs, based on which we learn how predict positions landmarks (which further constrain parametric human model) automatically according silhouettes. Critical vertices are selected registered bodies as represent shapes, so avoid the time‐consuming...

Abstract Background Medical simulators with vision and haptic feedback techniques offer a cost‐effective efficient alternative to the traditional medical trainings. They have been used train doctors in many specialties of medicine, allowing tasks be practised safe repetitive manner. This paper describes virtual‐reality (VR) system which will help influence surgeons' learning curves technically challenging field laparoscopic surgery rectum. Methods Data from MRI rectum real operation videos...

This paper uncovers several new stable periodic gaits in the simplest passive walking bipedal model proposed literature. It is demonstrated that has period-3 to period-7 beside period-1 found by Garcia et al. By simulations, this shows each of these leads chaos via period-doubling bifurcation and loses its stability cyclic-fold bifurcation. interesting phenomenon suggests a series scenarios have not been observed before. To confirm their bifurcations, presents computer assisted proofs on...

With the development of computer graphic and haptic devices, training surgeons with virtual reality technology has proven to be very effective in surgery simulation. Many successful simulators have been deployed for medical students. However, due various unsolved technical issues, laparoscopic simulation not widely used. Such issues include modeling complex anatomy structure, large soft tissue deformation, frequent surgical tools interactions, rendering material under illumination headlight....