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skeleton-Based Human Action Recognition via Screw Matrices

Chinese Journal of Electronics 2017年第4期26卷 790-796页

作者： DING Wenwen LIU Kai XU Biao CHENG Fei School of Computer Science and Technology Xidian University School of Mathematical Sciences Huaibei Normal University

With the recent advent of low-cost acquisition depth cameras, extracting 3D body skeleton has become relatively easier, which significantly lighten many difficulties in 2D videos including occlusions, shadows and background extraction, etc. Directly perceived features,for example points, lines and planes, can be easily extracted from 3D videos such that we can employ rigid motions to represent skeletal motions in a geometric *** apply screw matrices, acquired by using rotations and translations in 3D space, to model single and multi-body rigid motion. Since screw matrices are members of the special Euclidean group SE(3), an action can be represented as a point on a Lie group, which is a differentiable manifold. Using Lie-algebraic properties of screw algebra, isomorphic to se(3), the classical algorithms of machine learning in vector space can be expanded to manifold space. We evaluate our approached on three public3 D action datasets: MSR Action3 D dataset, UCF Kinect dataset and Florence3D-Action Dataset. The experimental results show that our approaches either match or exceed state-of-the-art skeleton-based human action recognition approaches.

关键词： skeleton joints Human activity recogni tion Screw algebra Lie group Lie algebra

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skeleton Split Strategies for Spatial Temporal Graph Convolution Networks

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Computers, Materials & Continua 2022年第6期71卷 4643-4658页

作者： Motasem S.Alsawadi Miguel Rio Electronic and Electrical Engineering Department University College LondonLondonWC1E 7JEEngland

Action recognition has been recognized as an activity in which individuals’behaviour can be *** profiles of regular activities such as activities of daily living can support identifying trends in the data during critical events.A skeleton representation of the human body has been proven to be effective for this *** skeletons are presented in graphs ***,the topology of a graph is not structured like Euclideanbased ***,a new set of methods to perform the convolution operation upon the skeleton graph is *** proposal is based on the Spatial Temporal-Graph Convolutional Network(ST-GCN)*** this study,we proposed an improved set of label mapping methods for the ST-GCN *** introduce three split techniques(full distance split,connection split,and index split)as an alternative approach for the convolution *** experiments presented in this study have been trained using two benchmark datasets:NTU-RGB+D and Kinetics to evaluate the *** results indicate that our split techniques outperform the previous partition strategies and aremore stable during training without using the edge importance weighting additional training ***,our proposal can provide a more realistic solution for real-time applications centred on daily living recognition systems activities for indoor environments.

关键词： skeleton split strategies spatial temporal graph convolutional neural networks skeleton joints action recognition

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用生物力学原理治疗腰腿痛149例近期疗效观察

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西安交通大学学报(医学版) 1987年第1期 75-78页

作者：魏效荣西安医科大学笫二附属医院中西医结合科

本文主要报告用这种疗法治疗149例腰腿痛,取得了较好的近期疗效。该疗法是用生物力学原理与医学相结合,从力学角度分析人体内肌肉、骨骼及关节之间的区别和联系,初步认识到肌肉是人体内力的源泉。力作用于肌肉,机体即可发生力学变化,通... 详细信息

本文主要报告用这种疗法治疗149例腰腿痛,取得了较好的近期疗效。该疗法是用生物力学原理与医学相结合,从力学角度分析人体内肌肉、骨骼及关节之间的区别和联系,初步认识到肌肉是人体内力的源泉。力作用于肌肉,机体即可发生力学变化,通过杠杆作用,达到调整结构力学的重新平衡,从而治疗因力平衡失调而致之腰腿痛。临床实践证明,该疗法适应症是:增生性脊柱炎,腰椎间盘突出症,腰椎后关节突紊乱症及腰扭伤等四种疾病所致之腰腿痛。对其与推拿、新医正骨疗法的不同,做了粗浅探讨。

关键词： bioechanics lumbo-leg pain muscles skeleton joints

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