Title :
Imitation of human body poses with a fluid based controller
Author :
Tilki, Umut ; Erkmen, I. ; Erkmen, A.M.
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
Abstract :
In this work, we aim at imitation of two system with totally different dynamics, imitating each other, where any correspondence is missing. Towards this aim, we adopt a case where the imitator is a fluidic system whose dynamics is totally different than the imitatee, that is a human performing different body poses. Our work proposes the fluidics formation control of fluid particles where the formation results from the imitation of observed human body poses. Fluidic formation control layer is responsible of assigning the correct fluid parameters to the swarm formation layer according to the body poses adopted by the human performer. The movement of the fluid particles is modeled using the Smoothed Particle Hydrodynamics (SPH) which is a particle based Lagrangian method for simulation of fluid flows. The region based controller first extract the human body parts generating the regions where the attention is attracted by the imitatee and fits an appropriate ellipses to delimited boundaries of those regions. The ellipse parameters such as center of the ellipses, eccentricity, length of the major and minor axis etc. are used by the fludic layer in order to generate human body poses.
Keywords :
flow control; flow simulation; fluidics; hydrodynamics; multi-robot systems; position control; robot dynamics; eccentricity; ellipse center; ellipse parameters; fluid based controller; fluid flow simulation; fluid particles; fluidic system; fluidics formation control; human body pose imitation; human performer; major axis length; minor axis length; particle based Lagrangian method; region based controller; smoothed particle hydrodynamics; swarm formation layer; swarm robotics; Biological system modeling; Conferences; Cybernetics; Electronic mail; Fluids; Hydrodynamics; Robots; formation control; imitation learning; smoothed particle hydrodynamics; swarm robotics;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531251