Laban Movement Analysis LMA is a method for observing, describing, notating, and interpreting human

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http//paloma.isr.uc.pt/lma

• Laban Movement Analysis (LMA) is a method for
  observing, describing, notating, and interpreting
  human movement developed by a German named Rudolf
  Laban (1879 to 1958).
• LMA helps to identify useful low-level features
• LMA defines a framework of mid-level descriptors
  for properties of a movement.
• LMA provides the features for a Bayesian
  classification of expressive movements.

Initial Triangle ?I
Head
Majorcomponents
Sternum
Circumcenter O
Navel
Incenter I
Hands
Relationship
Effort
Body
Which of the body parts are moving. Relation to
the body centre. Locomotion and kinematics.
Dynamic qualities of the movement and the inner
atti-tude towards using energy.
non - kinematic
kinematic
Space
Shape
Movementprototypes e.g.
Pointing gesture Effort.Space.Direct Lunging
for a ball Effort.Time.Sudden Opening arms to
embrace Shape.Sagittal.Spreading
What form is being re-vealed by the spatial
path-ways of the movement.
Emerging from the Body and Space
components. Focused on the body or towards a goal
in space
Learning of LMA-Parameter from movements
Hvn
Han
HZCRn
?Hxn
Hkn
MXnf(iM)
Expressive movement
Magnetic tracking
?Wxn
Wvn
?Cxn
LMA feature computation
Lunging for a ball
Low level feature computation
Bayesian Segmentation
Image capture
Skin colour tracking
ipre-stroke, istroke, ipost-stroke, irest
CXnf(iC)
imagef(iC)
Contacts Joerg Rett and Jorge Dias
http//www.isr.uc.pt/jrett http//www.deec.uc.pt
/jorge jrett jorge_at_isr.uc.pt
Developed by the TESTA team Joerg Rett, Diego
Faria, Alberto Neves and Carlos Simplicio The
work was partially sponsored by BACS-project-6th
Framework Programme of the European Commission
contract number FP6-IST-027140, Action line
Cognitive Systems