A novel dataset and deep learning-based approach for marker-less motion capture during gait
Tài liệu tham khảo
Benedetti, 2017, SIAMOC position paper on gait analysis in clinical practice: general requirements, methods and appropriateness. Results of an Italian consensus conference, Gait Posture, 58, 252, 10.1016/j.gaitpost.2017.08.003
Ferrarin, 2015, Does gait analysis change clinical decision-making in poststroke patients? Results from a pragmatic prospective observational study, Eur. J. Phys. Rehabil. Med., 51, 171
Wren, 2011, Efficacy of clinical gait analysis: a systematic review, Gait Posture, 34, 149, 10.1016/j.gaitpost.2011.03.027
Paterson, 2011, Stride dynamics, gait variability and prospective falls risk in active community dwelling older women, Gait Posture, 33, 251, 10.1016/j.gaitpost.2010.11.014
Toebes, 2012, Local dynamic stability and variability of gait are associated with fall history in elderly subjects, Gait Posture, 36, 527, 10.1016/j.gaitpost.2012.05.016
Simon, 2004, Quantification of human motion: gait analysis—benefits and limitations to its application to clinical problems, J. Biomech., 37, 1869, 10.1016/j.jbiomech.2004.02.047
Clark, 2019, Three-dimensional cameras and skeleton pose tracking for physical function assessment: a review of uses, validity, current developments and Kinect alternatives, Gait Posture, 68, 193, 10.1016/j.gaitpost.2018.11.029
Springer, 2016, Validity of the kinect for gait assessment: a focused review, Sensors, 16
Pfister, 2014, Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis, J. Med. Eng. Technol., 38, 274, 10.3109/03091902.2014.909540
Xu, 2015, Accuracy of the Microsoft Kinect™ for measuring gait parameters during treadmill walking, Gait Posture, 42, 145, 10.1016/j.gaitpost.2015.05.002
Cao, 2019, OpenPose: realtime multi-person 2D pose estimation using part affinity fields, arXiv
Gundavarapu, 2019, Structured aleatoric uncertainty in human pose estimation, vol. 2
Iskakov, 2019, 7718
Qiu, 2019, 4342
Sigal, 2010, Humaneva: synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion, Int. J. Comput. Vis., 87, 4, 10.1007/s11263-009-0273-6
Ionescu, 2014, Human3.6M: large scale datasets and predictive methods for 3D human sensing in natural environments, IEEE Trans. Pattern Anal. Mach. Intell., 36, 1325, 10.1109/TPAMI.2013.248
Kojima, 2015, Does the timed up and go test predict future falls among British community-dwelling older people? Prospective cohort study nested within a randomised controlled trial, BMC Geriatr., 15, 38, 10.1186/s12877-015-0039-7
Heikkila, 1997, A four-step camera calibration procedure with implicit image correction, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1106, 10.1109/CVPR.1997.609468
Sauret, 2016, On the use of knee functional calibration to determine the medio-lateral axis of the femur in gait analysis: comparison with EOS biplanar radiographs as reference, Gait Posture, 50, 180, 10.1016/j.gaitpost.2016.09.008
Sangeux, 2014, Which method of hip joint centre localisation should be used in gait analysis?, Gait Posture, 40, 20, 10.1016/j.gaitpost.2014.01.024
Leardini, 2007, A new anatomically based protocol for gait analysis in children, Gait Posture, 26, 560, 10.1016/j.gaitpost.2006.12.018
Davis, 1991, A gait analysis data collection and reduction technique, Hum. Mov. Sci., 10, 575, 10.1016/0167-9457(91)90046-Z
Pillet, 2014, A reference method for the evaluation of femoral head joint center location technique based on external markers, Gait Posture, 39, 655, 10.1016/j.gaitpost.2013.08.020
Chaibi, 2012, Fast 3D reconstruction of the lower limb using a parametric model and statistical inferences and clinical measurements calculation from biplanar X-rays, Comput. Methods Biomech. Biomed. Eng., 15, 457, 10.1080/10255842.2010.540758
Mitton, 2006, 3D reconstruction of the pelvis from bi-planar radiography, Comput. Methods Biomech. Biomed. Eng., 9, 1, 10.1080/10255840500521786
He, 2015, Deep residual learning for image recognition, arXiv
Moon, 2018, 5079
Leardini, 2005, Human movement analysis using stereophotogrammetry: Part 3. Soft tissue artifact assessment and compensation, Gait Posture, 21, 212, 10.1016/j.gaitpost.2004.05.002