Pose to Seat: Automated design of body-supporting surfaces

Kurt Leimer, Andreas Winkler, Stefan Ohrhallinger, Przemyslaw Musialski
Pose to Seat: Automated design of body-supporting surfaces
Computer Aided Geometric Design, 79:1-1, April 2020. [image] [paper]

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Abstract

The design of functional seating furniture is a complicated process which often requires extensive manual design effort and empirical evaluation. We propose a computational design framework for pose-driven automated generation of body-supports which are optimized for comfort of sitting. Given a human body in a specified pose as input, our method computes an approximate pressure distribution that also takes frictional forces and body torques into consideration which serves as an objective measure of comfort. Utilizing this information to find out where the body needs to be supported in order to maintain comfort of sitting, our algorithm can create a supporting mesh suited for a person in that specific pose. This is done in an automated fitting process, using a template model capable of supporting a large variety of sitting poses. The results can be used directly or can be considered as a starting point for further interactive design.

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BibTeX

@article{leimer_2020-cag,
  title =      "Pose to Seat: Automated design of body-supporting surfaces",
  author =     "Kurt Leimer and Andreas Winkler and Stefan Ohrhallinger and
               Przemyslaw Musialski",
  year =       "2020",
  abstract =   "The design of functional seating furniture is a complicated
               process which often requires extensive manual design effort
               and empirical evaluation. We propose a computational design
               framework for pose-driven automated generation of
               body-supports which are optimized for comfort of sitting.
               Given a human body in a specified pose as input, our method
               computes an approximate pressure distribution that also
               takes frictional forces and body torques into consideration
               which serves as an objective measure of comfort. Utilizing
               this information to find out where the body needs to be
               supported in order to maintain comfort of sitting, our
               algorithm can create a supporting mesh suited for a person
               in that specific pose. This is done in an automated fitting
               process, using a template model capable of supporting a
               large variety of sitting poses. The results can be used
               directly or can be considered as a starting point for
               further interactive design.",
  month =      apr,
  journal =    "Computer Aided Geometric Design",
  volume =     "79",
  event =      "Conference",
  pages =      "1--1",
  keywords =   "pose estimation, furniture, computational design",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/",
}