A real-time webcam-based method for assessing upper-body postures
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Ling Qin | Wanqing Li | Philip Ogunbona | Zewei Ding | P. Ogunbona | W. Li | Zewei Ding | Ling Qin
[1] G. David. Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. , 2005, Occupational medicine.
[2] Sameer Singh,et al. Computer Vision and Pattern Recognition Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation (Part I): A State-of-the-Art Review , 2002, Pattern Analysis & Applications.
[3] Chang Hong Lin,et al. Pure FPGA Implementation of an HOG Based Real-Time Pedestrian Detection System , 2018, Sensors.
[4] Jung-Hoon Kim,et al. 3D displacement measurement model for health monitoring of structures using a motion capture system , 2015 .
[5] Ankur Agarwal,et al. 3D human pose from silhouettes by relevance vector regression , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[6] Ana Isabel Carita,et al. Intrarater and interrater reliability of photographic measurement of upper-body standing posture of adolescents. , 2015, Journal of manipulative and physiological therapeutics.
[7] O Karhu,et al. Correcting working postures in industry: A practical method for analysis. , 1977, Applied ergonomics.
[8] Franck Multon,et al. Validation of an ergonomic assessment method using Kinect data in real workplace conditions. , 2017, Applied ergonomics.
[9] Marcos Duarte,et al. Postural Assessment Software (PAS/SAPO): Validation and Reliabiliy , 2010, Clinics.
[10] Michael Sonne,et al. Development and evaluation of an office ergonomic risk checklist: ROSA--rapid office strain assessment. , 2012, Applied ergonomics.
[11] L McAtamney,et al. RULA: a survey method for the investigation of work-related upper limb disorders. , 1993, Applied ergonomics.
[12] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Helmut Schmidt,et al. Probabilistic part-of-speech tagging using decision trees , 1994 .
[14] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Zhongke Shi,et al. Vision-based action recognition of construction workers using dense trajectories , 2016, Adv. Eng. Informatics.
[16] B. Lowe,et al. Observation-based posture assessment : review of current practice and recommendations for improvement , 2014 .
[17] Kelly DeRango,et al. The effects of an office ergonomics training and chair intervention on worker knowledge, behavior and musculoskeletal risk. , 2009, Applied ergonomics.
[18] Gabriele Bleser,et al. Innovative system for real-time ergonomic feedback in industrial manufacturing. , 2013, Applied ergonomics.
[19] Liqing Zhang,et al. Saliency Detection: A Spectral Residual Approach , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Francesco Caputo,et al. Human Posture Tracking System for Industrial Process Design and Assessment , 2018, IHSI.
[21] Xu Xu,et al. A computer vision based method for 3D posture estimation of symmetrical lifting. , 2018, Journal of biomechanics.
[22] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[23] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Ignacio Méndez-Ramírez,et al. Computer use increases the risk of musculoskeletal disorders among newspaper office workers. , 2003, Archives of medical research.
[25] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[26] M. Graf,et al. An assessment of seated activity and postures at five workplaces , 1995 .
[27] Jordán Pascual Espada,et al. Machine learning approach for text and document mining , 2014, ArXiv.
[28] Rainer Lienhart,et al. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection , 2003, DAGM-Symposium.
[29] Qixiang Ye,et al. Human Detection in Images via Piecewise Linear Support Vector Machines , 2013, IEEE Transactions on Image Processing.
[30] Yu Hen Hu,et al. Measuring elemental time and duty cycle using automated video processing , 2016, Ergonomics.
[31] Yu Hen Hu,et al. Visualizing stressful aspects of repetitive motion tasks and opportunities for ergonomic improvements using computer vision. , 2017, Applied ergonomics.
[32] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[33] Yu Hen Hu,et al. The accuracy of conventional 2D video for quantifying upper limb kinematics in repetitive motion occupational tasks , 2015, Ergonomics.
[34] Caroline S. Langensiepen,et al. Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications , 2019, Int. J. Medical Informatics.
[35] Rama Chellappa,et al. Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Yi Yang,et al. 3D human pose recovery from image by efficient visual feature selection , 2011, Comput. Vis. Image Underst..
[37] A. Carita,et al. Cervical and shoulder postural assessment of adolescents between 15 and 17 years old and association with upper quadrant pain , 2014, Brazilian journal of physical therapy.
[38] Yu Hen Hu,et al. Automated Video Exposure Assessment of Repetitive Hand Activity Level for a Load Transfer Task , 2013, Hum. Factors.
[39] Tuija Tammelin,et al. Neck and Shoulder Pains in Relation to Physical Activity and Sedentary Activities in Adolescence , 2007, Spine.
[40] Shaogang Gong,et al. A Dynamic 3D Human Model using Hybrid 2D-3D Representations in Hierarchical PCA Space , 1999, BMVC.
[41] Marek Malý,et al. Prevalence and risk factors of poor posture in school children in the Czech Republic. , 2007, The Journal of school health.
[42] Luca Romeo,et al. A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment , 2018, J. Biomed. Informatics.
[43] V. Ferrario,et al. Active range of motion of the head and cervical spine: a three‐dimensional investigation in healthy young adults , 2002, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.
[44] Weidong Zhou,et al. Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG , 2015, Int. J. Neural Syst..
[45] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[46] Kristiaan Schreve,et al. Development of a cost effective three-dimensional posture analysis tool: validity and reliability , 2013, BMC Musculoskeletal Disorders.
[47] Jose Antonio Diego-Mas,et al. Using Kinect™ sensor in observational methods for assessing postures at work. , 2014, Applied ergonomics.
[48] P. Sathyanarayana,et al. Image Texture Feature Extraction Using GLCM Approach , 2013 .
[49] Vladimir Pavlovic,et al. Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. , 2017, Applied ergonomics.
[50] Bin Gu,et al. Incremental Support Vector Learning for Ordinal Regression , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[51] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] SangHyun Lee,et al. Computer vision techniques for construction safety and health monitoring , 2015, Adv. Eng. Informatics.
[53] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[54] K. R. Saad,et al. Reliability and validity of the photogrammetry for scoliosis evaluation: a cross-sectional prospective study. , 2009, Journal of manipulative and physiological therapeutics.
[55] Bhupendra Rawal,et al. Accuracy and Validity of Goniometer and Visual Assessments of Angular Joint Positions of the Hand and Wrist. , 2016, The Journal of hand surgery.