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Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Engineering doi: 10.1016/j.eng.2023.10.004

Abstract: Identifying workers’ construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress. However, current activity analysis methods for construction workers rely solely on manual observations and recordings, which consumes considerable time and has high labor costs. Researchers have focused on monitoring on-site construction activities of workers. However, when multiple workers are working together, current research cannot accurately and automatically identify the construction activity. This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers. In this framework, multiple deep neural network models are designed and used to complete worker key point extraction, worker tracking, and worker construction activity analysis. The designed framework was tested at an actual construction site, and activity recognition for multiple workers was performed, indicating the feasibility of the framework for the automated monitoring of work efficiency.

Keywords： Pose estimation     Activity analysis     Object tracking     Construction workers     Automatic systems    

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RFPose-OT: RF-based 3D human pose estimation via optimal transport theory Research Article

Cong YU, Dongheng ZHANG, Zhi WU, Zhi LU, Chunyang XIE, Yang HU, Yan CHEN,congyu@std.uestc.edu.cn,eecyan@ustc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1445-1457 doi: 10.1631/FITEE.2200550

Abstract: Different from existing methods that predict human poses from RF signals at the signal level directly, we consider the structure difference between the RF signals and the human poses, propose a transformationof the RF signals to the pose domain at the feature level based on the (OT) theory, and generate humanbuild a radio system and a multi-view camera system to acquire the RF signal data and the ground-truth humanocclusion indoor environment, and an outdoor environment demonstrate that RFPose-OT can predict 3D human

Keywords： Radio frequency sensing     Human pose estimation     Optimal transport     Deep learning    

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Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Head pose estimation has been considered an important and challenging task in computer vision.In this paper we propose a novel method to estimate head pose based on a deep convolutional neural networkThen two convolutional neural networks are set up to train the head pose classifier and then comparedIt has better performance than state-of-the-art methods for head pose estimation.

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

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Unseen head pose prediction using densemultivariate label distribution Project supported by

Gao-li SANG,Hu CHEN,Ge HUANG,Qi-jun ZHAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 516-526 doi: 10.1631/FITEE.1500235

Abstract: Accurate head poses are useful for many face-related tasks such as face recognition, gaze estimation,However, they focus on estimating continuous head pose angles, and thus do not systematically evaluateIn this paper, we use a dense multivariate label distribution (MLD) to represent the pose angle of aBy incorporating both seen and unseen pose angles into MLD, the head pose predictor can estimate unseenestimation method can obtain the state-of-the-art performance when compared to some existing methods

Keywords： Head pose estimation     Dense multivariate label distribution     Sampling intervals     Inconsistent labels    

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Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid Article

Song Gu, Lihui Wang, Long He, Xianding He, Jian Wang

Engineering 2021, Volume 7, Issue 6,   Pages 777-786 doi: 10.1016/j.eng.2020.08.027

Abstract: Thus, gaze estimation is an important approach in intelligent manufacturing to analyze a person&rsquoMany gaze estimation methods regress the direction of the gaze by analyzing images of the eyes, alsoBecause personspecific calibrated eye patches are involved in the testing stage, the estimation accuracyproposed in order to select a few references as some of the DEANet’s inputs directly based on the estimationvalues, further thereby improving the estimation accuracy.

Keywords： Gaze estimation     Differential gaze     Siamese neural network     Cross-person evaluations     Human–robot collaboration    

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Physical human-robot interaction estimation based control scheme for a hydraulically actuated exoskeleton None

Yi LONG, Zhi-jiang DU, Wei-dong WANG, Long HE, Xi-wang MAO, Wei DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1076-1085 doi: 10.1631/FITEE.1601667

Abstract:

We proposed a lower extremity exoskeleton for power amplification that perceives intended human motionvia humanexoskeleton interaction signals measured by biomedical or mechanical sensors, and estimates humanSimultaneously, the mapping from the pHRI torque to the human gait trajectory is defined.Based on phase identification, the human gait can be estimated by applying the proposed algorithm, andExperiments were performed on a human subject who walked on the floor at a natural speed wearing the

Keywords： Exoskeleton     Physical human-robot interaction     Torque sensor     Human gait     Kalman smoother    

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Kinematic calibration of precise 6-DOF stewart platform-type positioning systems for radio telescope applications

Juan Carlos JáUREGUI, Eusebio E. HERNáNDEZ, Marco CECCARELLI, Carlos LóPEZ-CAJúN, Alejandro GARCíA

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 252-260 doi: 10.1007/s11465-013-0249-7

Abstract:

The pose accuracy of a parallel robot is a function of the mobile platform posture.In the first method, the pose accuracy estimation is calculated by considering the propagation of eachBoth methods can predict pose accuracy of precise robots at design stages, and/or can reduce calibration

Keywords： pose errors     error estimation     parallel robot     radio telescopes    

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: results proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords： artificial intelligence     power distribution control     state estimation    

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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: the mathematical model of the electricity-gas interconnected integrated energy system and its state estimationFinally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energymethod are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian relaxationBesides, compared with the centralized estimation method, the proposed distributed method saves 5.42

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract:

Residual life estimation is essential for reliability engineering.effectiveness and practicability of the proposed method are validated by comparing it with residual life estimation

Keywords： residual life estimation     Bayes model     linear Wiener process    

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineWe first summarize features of risky decision-making and possible biases of human decision-makers thereinAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 167-171 doi: 10.1007/s11705-009-0006-y

Abstract: The thermal degradation behaviors of polycarbonate/polymethylphenylsilsesquioxane (FRPC) composites were investigated by thermogravimetric analysis (TGA) under isothermal conditions in nitrogen atmosphere. The isothermal kinetics equation was used to describe the thermal degradation process. The results showed that activation energy ( ), in the case of isothermal degradation, was a quick increasing function of conversion (α) for polycarbonate (PC) but was a strong and decreasing function of conversion for FRPC. Under the isothermal condition, the addition of polymethylphenylsilsesquioxane (PMPSQ) retardanted the thermal degradation and enhanced the thermal stability of PC during the early and middle stages of thermal degradation. It also indicated a possible existence of a difference in nucleation, nuclei growth, and gas diffusion mechanism in the thermal degradation process between PC and FRPC. Meanwhile, the addition of PMPSQ influenced the lifetime of PC, but the composite still met the demand in manufacturing and application.

Keywords： polycarbonate     polymethylphenylsilsesquioxane     thermal degradation kinetics     activation energy     lifetime    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and driveSecondly, a coordination estimation method is further applied to identify the parameters of the DFIGand the drive train simultaneously with the purpose of attaining the global optimal estimation resultsThe main benefit of the proposed scheme is the improved estimation accuracy.Estimation results confirm the applicability of the proposed estimation technique.

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0729-8

Abstract: Observation and analysis of the simulation and experiment indicate that the tool pose is the same under

Keywords： honeycomb core     straight blade     ultrasonic cutting     tool pose     postprocessor    

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Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 877-886 doi: 10.1007/s11684-021-0863-4

Abstract: Proline-rich transmembrane protein 2 (PRRT2) is the leading cause of paroxysmal kinesigenic dyskinesia (PKD), benign familial infantile epilepsy (BFIE), and infantile convulsions with choreoathetosis (ICCA). Reduced penetrance of PRRT2 has been observed in previous studies, whereas the exact penetrance has not been evaluated well. The objective of this study was to estimate the penetrance of PRRT2 and determine its influencing factors. We screened 222 PKD index patients and their available relatives, identified 39 families with pathogenic or likely pathogenic (P/LP) PRRT2 variants via Sanger sequencing, and obtained 184 PKD/BFIE/ICCA families with P/LP PRRT2 variants from the literature. Penetrance was estimated as the proportion of affected variant carriers. PRRT2 penetrance estimate was 77.6% (95% confidence interval (CI) 74.5%–80.7%) in relatives and 74.5% (95% CI 70.2%–78.8%) in obligate carriers. In addition, we first observed that penetrance was higher in truncated than in non-truncated variants (75.8% versus 50.0%, P = 0.01), higher in Asian than in Caucasian carriers (81.5% versus 68.5%, P = 0.004), and exhibited no difference in gender or parental transmission. Our results are meaningful for genetic counseling, implying that approximately three-quarters of PRRT2 variant carriers will develop PRRT2-related disorders, with patients from Asia or carrying truncated variants at a higher risk.

Keywords： penetrance     PRRT2     paroxysmal kinesigenic dyskinesia     infantile convulsions    

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Title Author Date Type Operation

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Journal Article

RFPose-OT: RF-based 3D human pose estimation via optimal transport theory

Cong YU, Dongheng ZHANG, Zhi WU, Zhi LU, Chunyang XIE, Yang HU, Yan CHEN,congyu@std.uestc.edu.cn,eecyan@ustc.edu.cn

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

Unseen head pose prediction using densemultivariate label distribution Project supported by

Gao-li SANG,Hu CHEN,Ge HUANG,Qi-jun ZHAO

Journal Article

Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid

Song Gu, Lihui Wang, Long He, Xianding He, Jian Wang

Journal Article

Physical human-robot interaction estimation based control scheme for a hydraulically actuated exoskeleton

Yi LONG, Zhi-jiang DU, Wei-dong WANG, Long HE, Xi-wang MAO, Wei DONG

Journal Article

Kinematic calibration of precise 6-DOF stewart platform-type positioning systems for radio telescope applications

Juan Carlos JáUREGUI, Eusebio E. HERNáNDEZ, Marco CECCARELLI, Carlos LóPEZ-CAJúN, Alejandro GARCíA

Journal Article

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article

Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Journal Article

Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Journal Article