F. Durupinar, M. Kapadia, S. Deutsch, M. Neff & N. Badler

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Presentation transcript:

F. Durupinar, M. Kapadia, S. Deutsch, M. Neff & N. Badler PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis F. Durupinar, M. Kapadia, S. Deutsch, M. Neff & N. Badler As presented by Merel Meekes

Aim of the Study Consistently mapping personality to motion by: Defining personality driven motion parameters Generating motion from parameters Applying mapping on a visual representation

Topics of Today OCEAN personality model Laban Movement Analysis Existing research basis Animation workflow User Studies- Mapping LMA parameters to OCEAN model Completing the system User Studies - Personality-driven motion synthesis Possibilities and Limitations Discussion

OCEAN personality model 5 - factor model O Openness C Conscientiousness E Extraversion A Agreeableness N Neuroticism

Laban Movement Analysis (LMA) Movement as combination of Effort and Shape Layered over movement of Action Consulted with LMA experts

Laban Movement Analysis (LMA) Effort - dynamic aspect of motion Space: Indirect vs Direct Weight: Light vs Strong Time: Sustained vs Sudden Flow: Free vs Bound

Laban Movement Analysis (LMA) Shape - body form related to movement Shape Quality - changes of body in space Horizontal: Enclosing vs Spreading Vertical: Sinking vs Rising Sagittal: Retreating vs Advancing

Related Research Data Driven Approaches Personality and Motion Emotion Styles Laban Movement Analysis in Computer Graphics Movement Diversity in Crowds This is the first attempt at mapping from personality to movement in a non-data driven way.

Animation Workflow Incorporating the motion of the whole body Keyframe manipulation Shape timing parameters Torso rotation and head control Using Drives over Effert elements Time Control and Shape Control

Animation Workflow - Time Control Motion Velocity

Animation Workflow - Time Control Timestep

Animation Workflow - Shape Control Determining Coefficients

Animation Workflow - Shape Control Flourishes or Miscellaneous parameters

User Studies - Experiment Comparison of two poles of 1 Effort Dimension 48 Drive Comparisons Ten-Item Personality Inventory Specifically selected actions

User Studies - Map LMA and OCEAN

User Studies - Map LMA and OCEAN

Completing the System OCEAN-to-Effort Mapping

Completing the System Effort-to-Motion Parameter Mapping

User Studies - Personality-driven motion synthesis

Possibilities and Limitations Use of different Motion Model Application of overlay motion Consistent in diversity Connecting different emotion states Limitations Possibility for exaggeration Layering Emotions Testing Limitations Only kinetic information Low Level control

Questions before we discuss?

Motion Capture and Laban Analysis Would Motion Capture benefit from Laban Analysis in correlation with the OCEAN model to interpret motion detected? Use of Flow and Spacial Awareness Fast movement interpretation and recording Unnecessary complexity for possibly limited results

Motion Capture vs Perform Will this automatic generation of personality overthrow performance acting? Less of actor’s personal style in performance Fast personality implementations Base movement determination Present state of technology

Thank you