Analysis of Pathological and Non-pathological Human Motion with 3D Motion Capture Methods
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Transcript of Analysis of Pathological and Non-pathological Human Motion with 3D Motion Capture Methods
Analysis of Pathological and Non-pathological Human
Motion with 3D Motion Capture Methods
Analysis of Pathological and Non-pathological Human
Motion with 3D Motion Capture Methods
The 138/2001 ICT R&D Project
General goals – Buildup of a new MOCAP laboratory– Evaluation of human motion in 3D space: whole body,
facial expressions, gestures– Support of diagnostics, physical therapy and clinical
rehabilitation, emotional computing and telepresence.
Participants– TU Budapest Department of Control Engineering and
Information Technology– Foundation of the „Bone and Joint Decade”– The Collegiate Department of the Semmelweis University
Detailed information about the project: [email protected]
In Hungary
• Low back pain is first amongst diseases causing the highest number of days taken off from work
• Low back pain is the third biggest cause disabling workers
• In 1999, there were 55000 cases of treatment in hospitals because of low back pain. The total cost is estimated at more than 3,6 billion HUF (about 16.1 million USD)
Sickness Benefit Days Caused by Different Locomotor Diseases
Muscle damage (0.2%)
Joint inflammation(0.1%)Autoimmune soft tissuediseases (0.5%)Seropositive rheumatoidarthritis (0.8%)Knee-joint diseases(2.5%)Other joint diseases(2.6%)Crystal arthropaties(3.7%)Arthrosis (10.3%)
Spinal abnormalities(79.2%)
Goals - from a medical perspective Registration of the basic motion of healthy individuals
from different groups 2D and 3D registration and analysis of the basic
motion of patients suffering from acute low back pain 2D and 3D registration and analysis of the basic
motion of patients suffering from chronic low back pain Development of a standard motion therapy for acute
and chronic low back pain, and the effective evaluation of it
Consultation of patients suffering in acute low back pain and in sciatic neuralgia
Conventional diagnostics on spinal lumbago
Conventional diagnostics on spinal lumbago
• Anamnesis• Inspection• Palpation• Functional examinations: active/passive motion detection• etc.
• Anamnesis• Inspection• Palpation• Functional examinations: active/passive motion detection• etc.
Conventional diagnostics is a rather complex task! It is hard to interpret these steps from an engineering point of view aiming to substitute them by computer – aided solutions
3D MoCap devices
• Ultrasound devices are generally very robust, realtime - but they have limited functionality
• Optical solutions are expensive, they use several cameras generating complex illumination / background / calibration problems - but there is no need for cables.
We are trying Sensor fusion (ultrasound / optical)
• Markers: where? how many?• Inverse kinematic modelling: the number of markers
can be reduced
Hierarchy of algorithms for video-rate image
processingEven accurate real-time interpreting of a single image feature is difficult… A hierarchical set of features is needed for a sequence of images! Example:
Intensity /histogram
Color
Edges
Series of convolution
Geometrical properties
FFT / shape coefficients
Textures
Contours
Topological properties
From simple but less robust features
To complex but more robust features
Goals - from an ICT perspective• 2D-2,5D-3D-4D data acquisition• Measurement and modeling of human behavior in
daily life • Creation of human movement standards and
reference database for healthy and pathological cases• Projection of clinical models into adequate information
system representation• Development and implementation of numerically
stable mathematically founded image processing algorithms
• Application-specific, content-based indexing
Goals - from an ICT perspective
• Real-time 2D / 3 D image processing and visualization
• Improving efficiency of diagnosis and therapy by means of statistics and reference database
• Tele-consulting / tele-diagnostics methods for therapy and prevention
• Theraphy: teaching of optimal motion using real-time electromechanical, visual, acoustical feedback
• Web-based educational material for learning and assessment
• Buildup of a new medical MoCap system• Equipping of the MOCAP laboratory
Taxonomy of the „Looking at people” problem
– Full body motion detection– Facial expression evaluation– Gesture analysis
Our field of interest: medical applications of human movement analysis using 3D image processing tools
3D MoCap
Applications
Registration of typical symptomsTelemedicine
Disease standards
The continuous objective following up of the patients
3D Analysis
The early recognition of the disease
More effective treatment Cost-reduction
Clinical rehabilitation
Physical therapy
Non-pathological human motion: Sport
Non-pathological human motion:Training
Non-pathological human motion: National Cultural Heritage (eg. Folk dancing)
Conclusion
Due to experiences acquired by testing available medicalpurpose MoCap systems (e.g. Zebris) we decided to startour system development by carefully choosing anappropriate MoCap device as a „starting point”. Then ourhardware-software modifications will be added (e.g.
sensorfusion). Such way development cost and time mayconsiderably be reduced.