Forthcoming articles


International Journal of the Digital Human


These articles have been peer-reviewed and accepted for publication in IJDH, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of the Digital Human (3 papers in press)


Regular Issues


  • Low cost 3D foot scan with Kinect   Order a copy of this article
    by Kaiwei Zhao, Ameersing Luximon, C.K. Chan 
    Abstract: Accurate 3D digital model of human foot is extremely useful in shoe or orthoticsdesign and other medical situations such as podiatric therapy.In view of the fact that most of the 3D data acquisition equipment on the market are either high cost though high accuracy (e.g. high-end laser scanner), or with poor maneuverability and efficiency (e.g. image-based stereography), or poor portability (e.g. largesize scanning machine or types requiring support frame), a newmethodfor human footscanningis proposed in this paper.Microsoft Kinect sensor was adopted as the key device in this approach and proved a smart and efficient scanner in 3D foot data acquisition according to a detailed comparison with other scanners in terms of scan time, cost, operability and portability. Accuracy check of the sphere and foot scanning resultsalso demonstrates decent precision of the proposed scanning system.
    Keywords: Digital human model; foot scan; Kinect; low cost.

  • Three-dimensional (3D) shape analysis and anthropometry: A case study   Order a copy of this article
    by Peng Li 
    Abstract: This paper presents leg shape analysis from data collected in the 2012 US Army Anthropometry Survey (ANSUR II) as a case of digital body modeling. We applied principal component analysis (PCA) on 3D leg surfaces (3D PCA) and on relevant anthropometric measurements (1D PCA) of 3890 male subjects. We compared the first seven significant shape modes (accounting for 94% of shape variation) of the right leg with 1D PCA of six anthropometric measurements. The analysis shows that each set of PCA results has its own power to describe the shape variation. To explore the relations between anthropometric measurements and 3D shape variation, we also applied a multiple linear regression model (MLR) to 3D PCA scores against anthropometric measurements. The MLR results show a strong correlation between certain measurements and shape modes. Further numerical analysis also revealed a linear relation between the PC weights of length and circumference modes, and the volume and area of leg surfaces.
    Keywords: ANSUR II; principal component analysis; multiple regression; leg shape variation.

Special Issue on: 3D Measurement and Modelling Methods for Creating Anthropometric Digital Human Models

  • A landmark based 3D parametric foot model for footwear customization   Order a copy of this article
    by Yu Song, Jesse Hoeksema, Johan Molenbroek 
    Abstract: This paper presents a landmark based parametric 3D foot model which can be used as the basis for designing customized shoe lasts. 22 points on the surface of the foot are defined as anthropometric landmarks. 11 NURBS curves are then generated based on these 22 landmarks to construct the 3D parametric foot surface model using Rhinoceros
    Keywords: landmarks; parametric model; foot; last; measure.