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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

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the 138 2001 ict r d project
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: lovanyi@iit.bme.hu

in hungary
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)
goals from a medical perspective
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.

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
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
slide9

Hierarchy of algorithms for video-rate image processing

Even accurate real-time interpreting of a single image feature is difficult… A hierarchical set of features is needed for a sequence of images! Example:

From simple but less robust features

Intensity /histogram

Color

Edges

Series of convolution

Geometrical properties

FFT / shape coefficients

Textures

Contours

Topological properties

To complex but more robust features

goals from an ict perspective
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 perspective1
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
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

slide13

Registration of typical symptoms

Telemedicine

Non-pathological human motion: Sport

Physical therapy

Non-pathological human motion:Training

Clinical rehabilitation

3D MoCap

Applications

Non-pathological human motion:National Cultural Heritage (eg. Folk dancing)

3D Analysis

Disease standards

The early recognition of the disease

The continuous objective following up of the patients

More effective treatment

Cost-reduction

conclusion
Conclusion

Due to experiences acquired by testing available medical

purpose MoCap systems (e.g. Zebris) we decided to start

our system development by carefully choosing an

appropriate MoCap device as a „starting point”. Then our

hardware-software modifications will be added (e.g. sensor

fusion). Such way development cost and time may

considerably be reduced.