16.7.4.5.6 Gait Analysis, Diagnosis of Difference, Medical Diagnosis, Motion Capture

Chapter Contents (Back)
Walking. Gait Analysis. Motion Capture. Medical diagnosis, detection of abnormal gait. See also Human Motion Capture, Joint Information, Special Activities.

Semwal, S.K.[Sudhanshu K.], Parker, M.J.[Michael J.],
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Tan, T.W.[Tee-Woon], Guan, L.[Ling], Burne, J.[John],
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Lee, H.[Howard], Guan, L.[Ling], Lee, I.[Ivan],
Video Analysis of Human Gait and Posture to Determine Neurological Disorders,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0811
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Lee, H.[Howard], Guan, L.[Ling], Burne, J.,
Human Gait and Posture Analysis for Diagnosing Neurological Disorders,
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IEEE DOI 0008
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You, B.M., Siy, P., Anderst, W., Tashman, S.,
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MedImg(20), No. 6, June 2001, pp. 514-525.
IEEE Top Reference. 0110
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Beynon, M.J., Jones, L., Holt, C.A.,
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Roetenberg, D.,
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Ph.D.Thesis, University of Twente, May 2006.
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Luinge, H.J.,
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Ph.D.Thesis, University of Twente, December 2002.
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Pronost, N.[Nicolas], Dumont, G.[Georges],
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Springer DOI 0707
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Ramasso, E.[Emmanuel], Rombaut, M.[Michèle], Pellerin, D.[Denis],
State Filtering and Change Detection Using TBM Conflict Application to Human Action Recognition in Athletics Videos,
CirSysVideo(17), No. 7, July 2007, pp. 944-949.
IEEE DOI 0707
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Guironnet, M., Pellerin, D., Rombaut, M.,
A fusion architecture based on TBM for camera motion classification,
IVC(25), No. 11, 1 November 2007, pp. 1737-1747.
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Camera motion classification; Transferable belief model; Motion estimation; Motion description; Video indexing BibRef

Ramasso, E.[Emmanuel], Panagiotakis, C.[Costas], Rombaut, M.[Michèle], Pellerin, D.[Denis], Tziritas, G.[Georgios],
Human Shape-Motion Analysis In Athletics Videos for Coarse To Fine Action/Activity Recognition Using Transferable Belief Model,
ELCVIA(7), No. 4, 2008, pp. xx-yy.
WWW Link. 0909
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Earlier: A2, A1, A5, A3, A4:
Automatic people detection and counting for athletic videos classification,
AVSBS07(429-434).
IEEE DOI 0709
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Lakany, H.M.[Heba M.],
Extracting a diagnostic gait signature,
PR(41), No. 5, May 2008, pp. 1644-1654.
WWW Link. 0711
Human locomotion; Gait analysis; Feature extraction; Self-organising maps; Diagnostic signatures BibRef

Schepers, H.M.,
Ambulatory Assessment of Human Body Kinematics and Kinetics,
Ph.D.Thesis, Universiteit Twente, June 2009.
PDF File. 1109
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Klein Horstman, M.D.[Martijn D.],
The Twente Lower Extremity Model: Consistent Dynamic Simulation of the Human Locomoter Apparatus,
Ph.D.Thesis, University of Twente, December 2007.
PDF File. 1109
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Zhang, B.L.[Bai-Ling], Zhang, Y.C.[Yan-Chun], Begg, R.K.[Rezaul K.],
Gait classification in children with cerebral palsy by Bayesian approach,
PR(42), No. 4, April 2009, pp. 581-586.
Elsevier DOI 0812
Gait classification; Cerebral palsy; Bayesian approach BibRef

Gu, J.X.[Jun-Xia], Ding, X.Q.[Xiao-Qing], Wang, S.J.[Sheng-Jin], Wu, Y.S.[You-Shou],
Action and Gait Recognition From Recovered 3-D Human Joints,
SMC-B(40), No. 4, August 2010, pp. 1021-1033.
IEEE DOI 1008
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Koktas, N.S.[Nigar Sen], Yalabik, N.[Nese], Yavuzer, G.[Gunes], Duin, R.P.W.[Robert P.W.],
A multi-classifier for grading knee osteoarthritis using gait analysis,
PRL(31), No. 9, 1 July 2010, pp. 898-904.
Elsevier DOI 1004
BibRef
Earlier: A1, A2, A3, Only:
Combining Neural Networks for Gait Classification,
CIARP06(381-388).
Springer DOI 0611
Combining classifiers; Grading knee OA; Gait analysis BibRef

Charbonnier, C.[Caecilia], Assassi, L.[Lazhari], Volino, P.[Pascal], Magnenat-Thalmann, N.[Nadia],
Motion study of the hip joint in extreme postures,
VC(25), No. 9, September 2009, pp. xx-yy.
Springer DOI 0909
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Bauckhage, C.[Christian], Tsotsos, J.K.[John K.], Bunn, F.E.[Frank E.],
Automatic detection of abnormal gait,
IVC(27), No. 1-2, January 2009, pp. 108-115.
WWW Link. 0811
BibRef
Earlier:
Detecting Abnormal Gait,
CRV05(282-288).
IEEE DOI 0505
Gait analysis; Shape encoding; Vector space embedding; SVM classification BibRef

Karg, M., Kuhnlenz, K., Buss, M.,
Recognition of Affect Based on Gait Patterns,
SMC-B(40), No. 4, August 2010, pp. 1050-1061.
IEEE DOI 1008
BibRef

Kurihara, Y., Watanabe, K., Yoneyama, M.,
Estimation of Walking Exercise Intensity Using 3-D Acceleration Sensor,
SMC-C(42), No. 4, July 2012, pp. 495-500.
IEEE DOI 1206
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Shimura, K.[Kenichiro], Ohtsuka, K.[Kazumichi], Vizzari, G.[Giuseppe], Nishinari, K.[Katsuhiro], Bandini, S.[Stefania],
Mobility analysis of the aged pedestrians by experiment and simulation,
PRL(44), No. 1, 2014, pp. 58-63.
Elsevier DOI 1407
Aging society BibRef

Kadu, H., Kuo, C.C.J.[C.C. Jay],
Automatic Human Mocap Data Classification,
MultMed(16), No. 8, December 2014, pp. 2191-2202.
IEEE DOI 1502
image classification BibRef

Parascandolo, P.[Patrizia], Cesario, L.[Lorenzo], Vosilla, L.[Loris], Viano, G.[Gianni],
RheumaSCORE: A CAD System for Rheumatoid Arthritis Diagnosis and Follow-Up,
RHEUMA15(135-142).
Springer DOI 1511
BibRef

Hwang, K., Lin, J., Yeh, K.,
Learning to Adjust and Refine Gait Patterns for a Biped Robot,
SMCS(45), No. 12, December 2015, pp. 1481-1490.
IEEE DOI 1512
Foot BibRef

Tao, L.[Lili], Paiement, A.[Adeline], Damen, D.[Dima], Mirmehdi, M.[Majid], Hannuna, S.[Sion], Camplani, M.[Massimo], Burghardt, T.[Tilo], Craddock, I.[Ian],
A comparative study of pose representation and dynamics modelling for online motion quality assessment,
CVIU(148), No. 1, 2016, pp. 136-152.
Elsevier DOI 1606
BibRef
Earlier: A2, A1, A6, A5, A3, A4, Only:
Online quality assessment of human motion from skeleton data,
BMVC14(xx-yy).
HTML Version. 1410
Human motion quality BibRef

Yu, Z., Chen, X., Huang, Q., Zhang, W., Meng, L., Zhang, W., Gao, J.,
Gait Planning of Omnidirectional Walk on Inclined Ground for Biped Robots,
SMCS(46), No. 7, July 2016, pp. 888-897.
IEEE DOI 1606
Digital signal processing BibRef

Saputra, A.A., Botzheim, J., Sulistijono, I.A., Kubota, N.,
Biologically Inspired Control System for 3-D Locomotion of a Humanoid Biped Robot,
SMCS(46), No. 7, July 2016, pp. 898-911.
IEEE DOI 1606
Humanoid robots BibRef

Cheng, T.H., Wang, Q., Kamalapurkar, R., Dinh, H.T., Bellman, M., Dixon, W.E.,
Identification-Based Closed-Loop NMES Limb Tracking With Amplitude-Modulated Control Input,
Cyber(46), No. 7, July 2016, pp. 1679-1690.
IEEE DOI 1606
Fatigue BibRef

Parisi, F., Ferrari, G., Giuberti, M., Contin, L., Cimolin, V., Azzaro, C., Albani, G., Mauro, A.,
Inertial BSN-Based Characterization and Automatic UPDRS Evaluation of the Gait Task of Parkinsonians,
AffCom(7), No. 3, July 2016, pp. 258-271.
IEEE DOI 1609
Electronic mail BibRef

Zaki, M.H., Sayed, T.,
Exploring walking gait features for the automated recognition of distracted pedestrians,
IET-ITS(10), No. 2, 2016, pp. 106-113.
DOI Link 1602
gait analysis BibRef

Ameli, S.[Sina], Naghdy, F.[Fazel], Stirling, D.[David], Naghdy, G.[Golshah], Aghmesheh, M.[Morteza],
Objective clinical gait analysis using inertial sensors and six minute walking test,
PR(63), No. 1, 2017, pp. 246-257.
Elsevier DOI 1612
Physical performance status BibRef

Higashiguchi, T.[Tsuyoshi], Shimoyama, T.[Toma], Ukita, N.[Norimichi], Kanbara, M.[Masayuki], Hagita, N.[Norihiro],
Classification of Gait Anomaly due to Lesion Using Full-Body Gait Motions,
IEICE(E100-D), No. 4, April 2017, pp. 874-881.
WWW Link. 1704
BibRef
Earlier:
Lesioned-Part Identification by Classifying Entire-Body Gait Motions,
PSIVT15(136-147).
Springer DOI 1602
BibRef


Palma, C.[Carlos], Salazar, A.[Augusto], Vargas, F.[Francisco],
Automatic Detection of Deviations in Human Movements Using HMM: Discrete vs Continuous,
ISVC16(II: 534-543).
Springer DOI 1701
BibRef

Gianaria, E., Grangetto, M., Roppolo, M., Mulasso, A., Rabaglietti, E.,
Kinect-based gait analysis for automatic frailty syndrome assessment,
ICIP16(1314-1318)
IEEE DOI 1610
Aging BibRef

Dyshel, M., Arkadir, D., Bergman, H., Weinshall, D.,
Quantifying Levodopa-Induced Dyskinesia Using Depth Camera,
ACVR15(511-518)
IEEE DOI 1602
Biomedical monitoring BibRef

Pradhan, N.[Neera], Benavides, A.[Angela], Zhu, Q.[Qin], Banic, A.U.[Amy Ulinski],
Evaluation of Fatigue Measurement Using Human Motor Coordination for Gesture-Based Interaction in 3D Environments,
ISVC15(II: 443-452).
Springer DOI 1601
BibRef

Nabiyouni, M., Saktheeswaran, A., Bowman, D.A., Karanth, A.,
Comparing the performance of natural, semi-natural, and non-natural locomotion techniques in virtual reality,
3DUI15(3-10)
IEEE DOI 1511
gait analysis BibRef

Boutaayamou, M.[Mohamed], Schwartz, C.[Cedric], Denoel, V.[Vincent], Forthomme, B.[Benedicte], Croisier, J.L.[Jean-Louis], Garraux, G.[Gaetan], Verly, J.G.[Jacques G.], Bruls, O.[Olivier],
Development and validation of a 3D kinematic-based method for determining gait events during overground walking,
IC3D14(1-6)
IEEE DOI 1503
Accuracy BibRef

Boutaayamou, M., Schwartz, C., Stamatakis, J., Denoel, V., Maquet, D., Forthomme, B., Croisier, J.L., Macq, B., Verly, J.G., Garraux, G., Bruls, O.,
Validated extraction of gait events from 3D accelerometer recordings,
IC3D12(1-4)
IEEE DOI 1503
accelerometers BibRef

Samaraweera, G., Guo, R.[Rongkai], Quarles, J.,
Latency and avatars in Virtual Environments and the effects on gait for persons with mobility impairments,
3DUI13(23-30)
IEEE DOI 1406
avatars BibRef

Nakamura, T., Nishimura, N., Asahi, T., Oyama, G., Sato, M., Kajimoto, H.,
Kinect-based automatic scoring system for spasmodic torticollis,
3DUI14(155-156)
IEEE DOI 1406
diseases BibRef

Baumgartner, T.[Tobias], Mitzel, D.[Dennis], Leibe, B.[Bastian],
Tracking People and Their Objects,
CVPR13(3658-3665)
IEEE DOI 1309
BibRef

Manjanna, S.[Sandeep], Dudek, G.[Gregory], Giguere, P.[Philippe],
Using Gait Change for Terrain Sensing by Robots,
CRV13(16-22)
IEEE DOI 1308
Acceleration BibRef

Vieira, A.W.[Antonio W.], Lewiner, T.[Thomas], Schwartz, W.R.[William Robson], Campos, M.[Mario],
Distance matrices as invariant features for classifying MoCap data,
ICPR12(2934-2937).
WWW Link. 1302
BibRef

Zong, C.[Cong], Chetouani, M., Tapus, A.,
Automatic gait characterization for a mobility assistance system,
ICARCV10(473-478).
IEEE DOI 1109
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Svendsen, J.[Jeremy], Albu, A.B.[Alexandra Branzan], Virji-Babul, N.[Naznin],
Analysis of patterns of motor behavior in gamers with down syndrome,
CVCG11(1-6).
IEEE DOI 1106
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Spurlock, S.[Scott], Chang, R.[Remco], Wang, X.[Xiaoyu], Arceneaux, G.[George], Keefe, D.F.[Daniel F.], Souvenir, R.[Richard],
Combining Automated and Interactive Visual Analysis of Biomechanical Motion Data,
ISVC10(II: 564-573).
Springer DOI 1011
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Choi, W.[Woong], Mukaida, S.[Sho], Sekiguchi, H.[Hiroyuki], Hachimura, K.[Kozaburo],
Quantitative analysis of Iaido proficiency by using motion data,
ICPR08(1-4).
IEEE DOI 0812
Iaido: Japanese sword technique BibRef

Fothergill, S.[Simon], Harle, R.[Robert], Holden, S.[Sean],
Modeling the Model Athlete: Automatic Coaching of Rowing Technique,
SSPR08(372-381).
Springer DOI 0812
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Wang, Y.[Ying], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Multi-view Gymnastic Activity Recognition with Fused HMM,
ACCV07(I: 667-677).
Springer DOI 0711
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Kobashi, S.[Syoji], Shibanuma, N.[Nao], Kondo, K.[Katsuya], Kurosaka, M.[Masahiro], Hata, Y.[Yutaka],
Robust Estimation of Knee Kinematics After Total Knee Arthroplasty with Evolutional Computing Approach,
ICIP07(VI: 9-12).
IEEE DOI 0709
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Li, H.J.[Hao-Jie], Lin, S.X.[Shou-Xun], Zhang, Y.D.[Yong-Dong],
Combining Template Matching and Model Fitting for Human Body Segmentation and Tracking with Applications to Sports Training,
ICIAR06(II: 823-831).
Springer DOI 0610
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Tong, X.F.[Xiao-Feng], Duan, L.Y.[Ling-Yu], Xu, C.S.[Chang-Sheng], Tian, Q.[Qi], Lu, H.Q.[Han-Qing],
Local Motion Analysis and Its Application in Video based Swimming Style Recognition,
ICPR06(II: 1258-1261).
IEEE DOI 0609
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Lakany, H.M., Birbilis, A., and Hayes, G.M.,
Recognising Walkers Using Moving Light Displays,
DAINo. 811, June 1996. Neural network classifier applied to 2-D FFT features. BibRef 9606

Lakany, H.M., and Hayes, G.M.,
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DAINo. 848, March 1997. Spatio temporal analysis of joint features, uses moving light display. BibRef 9703

Lakany, H.M., and Hayes, G.M.,
A Neural Network for Moving Light Display Trajectory Prediction,
DAINo. 847, March 1997. Radial Basis Function Neural Network to predict location of lights on joints of walking person. BibRef 9703

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Rehabilitation Systems, Rehabilitation Techniques .


Last update:Nov 11, 2017 at 13:31:57