Automated Analysis and Quantification of Human Mobility Using a Depth Sensor
暂无分享,去创建一个
[1] Gunnar Rätsch,et al. Totally corrective boosting algorithms that maximize the margin , 2006, ICML.
[2] S. Heymsfield,et al. Epidemiology of sarcopenia among the elderly in New Mexico. , 1998, American journal of epidemiology.
[3] Moi Hoon Yap,et al. Benchmarking human motion analysis using kinect one: An open source dataset , 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).
[4] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[5] Marco Grangetto,et al. Gait characterization using dynamic skeleton acquisition , 2013, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP).
[6] Ian J. Deary,et al. Grip Strength across the Life Course: Normative Data from Twelve British Studies , 2014, PloS one.
[7] Mohammad H. Mahoor,et al. Automatic measurement of physical mobility in Get-Up-and-Go Test using kinect sensor , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[8] Ana-Maria Cretu,et al. Human movement quantification using Kinect for in-home physical exercise monitoring , 2014, 2014 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
[9] Lichao Zhang,et al. A Kinect based Golf Swing Score and Grade System using GMM and SVM , 2012, 2012 5th International Congress on Image and Signal Processing.
[10] Masayoshi Tomizuka,et al. A tele-monitoring system for gait rehabilitation with an inertial measurement unit and a shoe-type ground reaction force sensor , 2013 .
[11] Patricia Gregory,et al. Clinical Telerehabilitation: Applications for Physiatrists , 2011, PM & R : the journal of injury, function, and rehabilitation.
[12] Alex Mihailidis,et al. A MARKERLESS MOTION TRACKING APPROACH TO UNDERSTAND CHANGES IN GAIT AND BALANCE : A CASE STUDY , 2013 .
[13] H. Boter,et al. Prevalence of Frailty in Community‐Dwelling Older Persons: A Systematic Review , 2012, Journal of the American Geriatrics Society.
[14] Gérard G. Medioni,et al. Home Monitoring Musculo-skeletal Disorders with a Single 3D Sensor , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[15] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[16] David Webster,et al. Experimental evaluation of Microsoft Kinect's accuracy and capture rate for stroke rehabilitation applications , 2014, 2014 IEEE Haptics Symposium (HAPTICS).
[17] Yong Du,et al. Hierarchical recurrent neural network for skeleton based action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[19] Linda Denehy,et al. Validity of the Microsoft Kinect for assessment of postural control. , 2012, Gait & posture.
[20] Octavian Postolache,et al. Kinect based system and Artificial Neural Networks classifiers for physiotherapy assessment , 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
[21] Vassiliki Derri,et al. The effect of Xbox Kinect intervention on balance ability for previously injured young competitive male athletes: a preliminary study. , 2014, Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine.
[22] Kingshuk Chakravarty,et al. Pose Based Person Identification Using Kinect , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.
[23] John Darby,et al. Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture , 2014, ICIAR.
[24] P. Verschure,et al. Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: a randomized controlled pilot study in the acute phase of stroke using the rehabilitation gaming system. , 2011, Restorative neurology and neuroscience.
[25] Jean-Christophe Nebel,et al. Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series , 2010, 2010 20th International Conference on Pattern Recognition.
[26] P. Verschure,et al. The rehabilitation gaming system: a review. , 2009, Studies in health technology and informatics.
[27] P. Verschure,et al. Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation , 2010, Journal of NeuroEngineering and Rehabilitation.
[28] Yoav Freund,et al. A Short Introduction to Boosting , 1999 .
[29] John Cosmas,et al. Recognition of postures and Freezing of Gait in Parkinson's disease patients using Microsoft Kinect sensor , 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).
[30] Dimitrios Makris,et al. Clustered Spatio-temporal Manifolds for Online Action Recognition , 2014, 2014 22nd International Conference on Pattern Recognition.
[31] M. Fuhrer. Subjectifying quality of life as a medical rehabilitation outcome , 2000, Disability and rehabilitation.
[32] Dejan Gjorgjevikj,et al. Evaluation of different feature sets for gait recognition using skeletal data from Kinect , 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).
[33] P. Olivier,et al. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease. , 2014, Gait & posture.
[34] Philippe Fraisse,et al. Estimation of the center of mass with Kinect and Wii balance board , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[35] L. Ferrucci,et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. , 1994, Journal of gerontology.
[36] Philippe Fraisse,et al. A personalized balance measurement for home-based rehabilitation , 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).
[37] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[38] John Darby,et al. Human Activity Recognition for Physical Rehabilitation , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.
[39] B. Schölkopf,et al. Modeling Human Motion Using Binary Latent Variables , 2007 .
[40] L. Fried,et al. Frailty in older adults: evidence for a phenotype. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.
[41] Taghi M. Khoshgoftaar,et al. RUSBoost: Improving classification performance when training data is skewed , 2008, 2008 19th International Conference on Pattern Recognition.