3-D motion recovery via low rank matrix analysis

Skeleton tracking is a useful and popular application of Kinect. However, it cannot provide accurate reconstructions for complex motions, especially in the presence of occlusion. This paper proposes a new 3-D motion recovery method based on lowrank matrix analysis to correct invalid or corrupted motions. We address this problem by representing a motion sequence as a matrix, and introducing a convex low-rank matrix recovery model, which fixes erroneous entries and finds the correct low-rank matrix by minimizing nuclear norm and `1-norm of constituent clean motion and error matrices. Experimental results show that our method recovers the corrupted skeleton joints, achieving accurate and smooth reconstructions even for complicated motions

3-D motion recovery via low rank matrix restoration on articulation graphs

This paper addresses the challenge of 3-D skeleton recovery by exploiting the spatio-temporal correlations of corrupted 3D skeleton sequences. A skeleton sequence is represented as a matrix. We propose a novel low-rank solution that effectively integrates both a low-rank model for robust skeleton recovery based on temporal coherence, and an articulation-graph-based isometric constraint for spatial coherence, namely consistency of bone lengths. The proposed model is formulated as a constrained optimization problem, which is efficiently solved by the Augmented Lagrangian Method with a Gauss-Newton solver for the subproblem of isometric optimization. Experimental results on the CMU motion capture dataset and a Kinect dataset show that the proposed approach achieves better recovery accuracy over a state-of-the-art method. The proposed method has wide applicability for skeleton tracking devices, such as the Kinect, because these devices cannot provide accurate reconstructions of complex motions, especially in the presence of occlusion

A04: A Pilot Study on the Persistence of Children\u27s Online Sports Games

Purpose: In the post-epidemic era, children\u27s physical activity has decreased sharply, and smart sports at home have gradually emerged, making online sports games an important path for children\u27s sports participation. This pilot study was to explore the persistence of children\u27s online sports game participation through exercise frequency recording and provided guidance for online sports game intervention programs. Methods: A total of 29 primary school children were enrolled, including 24 boys and 5 girls. Participants exercise autonomously through motion software. In this study, the movement of each participant was recorded through the background of the software system and exported to Excel. Two-week period was used as one stage and a total of six stages were analyzed. After preliminary collation of the data, one-way ANOVA using SPSS23.0 was performed. Results: By analyzing the motion records of the 12 weeks of online exercise, overall trend of the first five stages is linear decreasing, and the trend of the fifth and sixth stages is flat; There was no significant difference between the first stage and the fourth stage (p \u3e 0.05). The first and fifth and sixth stages showed that the differences (p \u3c 0.01). The difference between the second and sixth stages was significant (p \u3c 0.05), and the difference between the second and fifth phases was very significant (p \u3c 0.01). Conclusions: Online sports games have a certain attraction to children, ensuring the frequency of children\u27s early sports participation, but this attraction is difficult to last for a long time. Children\u27s interest in sports will decline to varying degrees with time. It is recommended to further improve and stabilize the persistence of children\u27s participation by formulating external behavioral intervention strategies and adjusting internal intervention programs

Effect of Exercise Intervention on Social Ability of ADHD Children

The incidence rate of attention deficit hyperactivity disorder (ADHD) is 7.25% in China. The main symptoms are attention deficit laxation, behavior impulsivity, social disorder and so on. Children aged 3-6 are in the golden age of social ability development. Therefore, if ADHD children at this age do not get correct and effective interventions, it will have a far-reaching impact on their social ability. In order to explore new intervention measures for ADHD children and improve their social ability, this study will intervene ADHD children through sports intervention, so as to provide theoretical and experimental basis for improving their social ability. A total of 12 hyperactivity prone children aged 3-6 years were recruited in this study. The subjects were intervened through engaging in KDL sports game, parent-child homework and parent-child carnival for four months. We used Achenbach children\u27s behavior scale (CBCL) to evaluate children\u27s social ability from activity ability, social ability and learning. In order to reduce the experimental error, before using the CBCL scale, the researchers have been trained in learning and understanding the specific rules and scoring methods of the CBCL scale to ensure that evaluated data have good reliability and validity. After data collection, SPSS 23.0 was used to conduct statistical analysis on the data. The results showed that after the intervention, the ADHD children significantly improved their social ability from the baseline to the post-test (Tsocial = -1.39, psocial = 0.01 \u3c 0.05). However, the results showed that there was no significant difference in children\u27s activity ability and learning over time (Tactivity = 0.42, pactivity = 0.533 \u3e 0.05; Tlearning = -0.12, plearning = 0.756 \u3e 0.05). Exercise intervention can effectively improve the social ability of ADHD children, which is more harmonious with their peers and more able to communicate with their families. We suggest to carry out exercise intervention for more children with ADHD and to integrate behavioral therapy with multi-directional intervention

The diagnostic value of four-dimensional ultrasound examination of perineum in the diagnosis of postpartum pelvic floor dysfunction

Objective to explore the diagnostic value of perineal four-dimensional ultrasound (4D-US) in postpartum pelvic floor dysfunction (PFD) disease. 328 postpartum PFD patients diagnosed by clinical pelvic floor palpation from June 2018 to December 2020 were selected as the PFD group, and 328 patients without PFD were selected as the control group. All participants underwent perineal 4D-US, the indicators were statistically analyzed. The results showed that the LAT of left and right, LHLR, LHAP, LHA, resting state and holding the breath in the PFD group were higher than those in the control group, and the difference was statistically significant (P<0.05). From cervix to lower margin of pubic symphysis, bladder to lower margin of pubic symphysis of the pubic symphysis, and from the ampulla of the rectum to the lower margin of the pubic symphysis, the PFD group was larger than the control group, but the result of urethral rotation was reversed, and the difference was statistically significant (P<0.05). The morphologic features of the levator ani muscle and pelvic fissure can be detected early using 4D-US, which is a reliable technique that can be learned in a short period of time

Spatio-temporal reconstruction for 3D motion recovery

—This paper addresses the challenge of 3D motion recovery by exploiting the spatio-temporal correlations of corrupted 3D skeleton sequences. We propose a new 3D motion recovery method using spatio-temporal reconstruction, which uses joint low-rank and sparse priors to exploit temporal correlation and an isometric constraint for spatial correlation. The proposed model is formulated as a constrained optimization problem, which is efficiently solved by the augmented Lagrangian method with a Gauss-Newton solver for the subproblem of isometric optimization. Experimental results on the CMU motion capture dataset, Edinburgh dataset and two Kinect datasets demonstrate that the proposed approach achieves better motion recovery than state-of-the-art methods. The proposed method is applicable to Kinect-like skeleton tracking devices and pose estimation methods that cannot provide accurate estimation of complex motions, especially in the presence of occlusion

The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry

The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages. These developments span a wide range of topics in computational chemistry and are presented in thematic sections: electronic structure theory, electronic spectroscopy simulations, analytic gradients and molecular structure optimizations, ab initio molecular dynamics, and other new features. This report offers an overview of the chemical phenomena and processes OpenMolcas can address, while showing that OpenMolcas is an attractive platform for state-of-the-art atomistic computer simulations

Numerical investigation of positive dihedral application conditions in compressor cascades

This study attempts to make a contribution to the understanding of dihedral application conditions and their aerodynamic mechanisms. The present efforts have finished contrastive investigations on several dihedral blades to their corresponding straight ones with different geometric or aerodynamic conditions including aspect ratio, solidity, aerofoil turning angle, inlet boundary layer configuration and inlet Mach number. A dihedral with the angle between the suction side and the endwall to be obtuse, i.e., positive dihedral, is chosen. The result reveals the dihedral application conditions consist of aerofoil turning angle, inlet boundary layer, inlet Mach number and so on. The further analysis indicates: in a transonic cascade, two considerations are needed on the contrastive relationship between intensities of the two shocks, namely detached shock and passage shock, and the interaction of the shocks with the corner separation

Pollution characteristics of toxic metals in topsoil of small and medium-sized cities in mountainous areas of loess plateau in china——A case study of Guyuan

Urban soils are subjected to large number of pollutants (including toxic metals). This study investigated the urban soil environmental quality of Guyuan (a typical mountainous city in the Loess Plateau of northwestern China) by determining the concentrations of eight toxic metals (Cu, Zn, Cd, Pb, Cr, Ni, Mn, and Co) in urban topsoil as well as their potential sources. The toxic metal contents in the urban topsoil of Guyuan were generally less than those of other cities in northwestern China. Majority of the metals were highly concentrated in commercial and residential areas at the centre of Guyuan and the industrial region in southeastern Guyuan. The results of our study can contribute towards controlling, managing, and preventing soil pollution, as well as implementing safe layouts for the development of mountainous cities from the planning stage itself