Design smart clothing using digital human models

Sofia Scataglini, Femke Danckaers, Toon Huysmans, Jan Sijbers, Giuseppe Andreoni

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

11 Citations (Scopus)

Abstract

This chapter presents digital human models (DHMs) as supporting tools in user-centered design for smart clothing. Smart clothing represents the new class of design era 2.0 with interactive technologies intended to be attractive, comfortable, and fit for the purpose of the identified user (Scataglini et al., 2019). While DHMs offer the possibility to analyze or predict human posture, motion, and other functions in a high-fidelity, physics-based, three-dimensional, real-time environment, smart clothing allows for monitoring vital (heart rate, breathing rate, temperature) and emotional (heart rate variability, electrodermal activity) parameters, movements, and postures. Effectiveness of functional wear is verified on the integration of DHMs into the design of a smart clothing system. Smart clothing represents a “second skin” that has a close “intimate” relation with the human body. This relation is physiological, psychological, biomechanical, and ergonomical. Physiological, biomechanical, and ergonomic aspects represent a retro-feedback of the user’s function in the iterative co-design workflow for designing smart garments, permitting the redesign and the technological refinement of it.

Original languageEnglish
Title of host publicationDHM and Posturography
EditorsSofia Scataglini, Gunther Paul
PublisherAcademic Press
Chapter53
Pages683-698
Number of pages16
ISBN (Electronic)978-0-12-816713-7
ISBN (Print)978-0-12-816713-7
DOIs
Publication statusPublished - 2019

Keywords

  • Blender
  • DHM
  • HCD
  • Human system integration
  • Smart technology
  • Statistical body shape model

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