A marker-free system for the analysis of movement disabilities

Studies in Health Technology and Informatics

Volumn 52, Issue , 1998, Pages 1066-1070

  Legrand, Louis ^a   Marzani, Franck ^a   Dusserre, Liliane ^a  

^a UNIVERSITÉ DE BOURGOGNE   (France)

Author keywords

Fuzzy Clustering; Gait analysis; Human Motion; Model; Movement Disabilities; Optical Flow; Superquadric

Indexed keywords

CLUSTERING ALGORITHMS; DISABLED PERSONS; GAIT ANALYSIS; MODELS; OPTICAL FLOWS; PIXELS;

ACQUISITION TIME; ANALYSIS EQUIPMENTS; CLUSTERING PROCESS; HUMAN MOTIONS; MODELING LOCATION; MOVEMENT DISABILITIES; SUPERQUADRIC; TWO DIMENSIONAL MODEL;

FUZZY CLUSTERING;

ARTICLE; AUDIOVISUAL EQUIPMENT; BIOLOGICAL MODEL; BIOMECHANICS; FUZZY LOGIC; GAIT; HUMAN; IMAGE PROCESSING; MICROCOMPUTER; MOTOR DYSFUNCTION; PATHOPHYSIOLOGY;

BIOMECHANICS; FUZZY LOGIC; GAIT; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROCOMPUTERS; MODELS, BIOLOGICAL; MOTION PICTURES; MOVEMENT DISORDERS;

EID: 84887642456     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-896-0-1066     Document Type: Conference Paper

References (13)

1. Harris GF, and Smith PA.Human motion analysis.IEEE Press, 1996.
2. O'Malley MLDL, and De Poar A.M.Kinematic analysis of human walking gait using digital image processing.Med.&Biol.Eng.&Comput.1993; pp.392-398
3. Barron JL, Fleet DJ, and Beauchemin SS.Systems and experiment-Performance of optical flow techniques.InternationalJournal of Computer Vision 1994: 12, 1; pp.43-77.
4. Horn BKP, and Schunck BG.Determining optical flow.Artificial Intelligence 1981: 17; pp.185-203.
5. Nagel HH.On The estimation of optical flow: Relations between different approaches and some new results.Artificial Intelligence 1987: 33; pp.299-324.A
6. Marzani F, Legrand L, and Dusserre L.The Fourier adaptive smoothness constraint for computing optical flow on sequences of angiographic images.IEEE Proc.of Computer Based Medical Systems 1996; pp.53-58.
7. Monga O, Armande N, and Montesinos P.Thin nets and crest lines: application to satellite data and medical images.IEEE Proc.of International Conference on Image Processing 1995: 2; pp.468-471.
8. Aggarwal JK, Cai Q, Liao W, and Sabata B.Articulated and elastic non-rigid motion: A review.IEEE Proc.of Computer Society Workshop on Motion of Non-Rigid and Articulated Objects 1994; pp.16-22.
9. Solina F, and Bajcsy R.Recovery of parametric models from range images: The case for superquadrics with global .deformations.IEEE Trans, on Pattern Analysis and Machine Intelligence 1990: 12,2; pp.131-147.
10. Zadeh LA.Fuzzy sets.Information and Control 1965: 8; pp.338-353.
11. Man Y, and Gath I.Detection and separation of ring-shaped clusters using fuzzy clustering.IEEE Trans, on Pattern Analysis and Machine Intelligence 1994: 16, 8; pp.855-863.
12. Krishnapuram R, Frigui H, and Nasraoui O.Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation-Part I.IEEE Trans, on Fuzzy Systems 1995: 3, 1; pp.2943.
13. Dave RN, and Bhaswan K.Adaptive fuzzy C-shells clustering and detection of ellipses.IEEE Trans, on Neural Networks 1992: 3, 5; pp.643-662.